# Pinecone Docs

> Official Pinecone documentation for the vector database, Assistant, inference APIs, SDKs, and building production search and AI applications.

## Docs

- [Pinecone documentation](https://docs.pinecone.io/guides/get-started/overview.md): Pinecone is the vector database for AI agents and applications, built for semantic search, knowledge retrieval, and long-term memory at…
- [Quickstart](https://docs.pinecone.io/guides/get-started/quickstart.md): Add Pinecone to your AI agent or app in minutes. Build a knowledge retrieval agent, use your IDE assistant, or integrate the SDK direct…
- [Agentic IDEs and CLIs](https://docs.pinecone.io/guides/get-started/ai-coding-tools.md): Use Pinecone with agentic IDEs and CLIs like Claude Code, Gemini CLI, and Cursor via MCP server, plugins, and agent skills for vector s…
- [Test Pinecone at scale](https://docs.pinecone.io/guides/get-started/test-at-scale.md): Benchmark Pinecone at production scale by importing 10M vectors and measuring semantic search throughput, query latency, and costs.
- [Concepts](https://docs.pinecone.io/guides/get-started/concepts.md): Learn core Pinecone concepts (organizations, projects, indexes, documents, namespaces, dense and sparse vectors) and how they relate.
- [Architecture](https://docs.pinecone.io/guides/get-started/database-architecture.md): Learn how Pinecone's serverless architecture (API gateway, control plane, data plane, and object storage) powers vector search at scale.
- [Indexing overview](https://docs.pinecone.io/guides/index-data/indexing-overview.md): Learn how indexing works in Pinecone: serverless indexes, document schemas, namespaces, integrated embedding, and metadata filtering.
- [Create an index](https://docs.pinecone.io/guides/index-data/create-an-index.md): Create a Pinecone serverless index for full-text (BM25), semantic (dense vector), lexical (sparse), or hybrid search with a document sc…
- [Data modeling](https://docs.pinecone.io/guides/index-data/data-modeling.md): Model your data in Pinecone using documents with dense_vector, sparse_vector, full-text string, and metadata fields for efficient retri…
- [Data ingestion overview](https://docs.pinecone.io/guides/index-data/data-ingestion-overview.md): Compare data ingestion options in Pinecone: bulk import from object storage, upsert operations, and hosted embedding via the Inference…
- [Upsert records](https://docs.pinecone.io/guides/index-data/upsert-data.md): Upsert dense, sparse, and text records into Pinecone indexes, batch upserts for higher throughput, and partition data with namespaces.
- [Import records](https://docs.pinecone.io/guides/index-data/import-data.md): Import large datasets efficiently from Amazon S3, Google Cloud Storage, or Azure Blob Storage into Pinecone serverless indexes using ob…
- [Check data freshness](https://docs.pinecone.io/guides/index-data/check-data-freshness.md): Check data freshness in Pinecone serverless indexes using log sequence numbers (LSNs) and vector counts to verify recent upserts and de…
- [Implement multitenancy](https://docs.pinecone.io/guides/index-data/implement-multitenancy.md): Implement multitenancy in Pinecone with one namespace per tenant on a serverless index to isolate customer data for SaaS RAG or semanti…
- [Dedicated Read Nodes](https://docs.pinecone.io/guides/index-data/dedicated-read-nodes.md): Dedicated read nodes use provisioned hardware for read operations, providing predictable, low-latency performance at high query volumes.
- [Search overview](https://docs.pinecone.io/guides/search/search-overview.md): Compare Pinecone search types and choose the right retrieval approach: full-text (BM25), semantic (dense vector), sparse lexical, and h…
- [Full-text search](https://docs.pinecone.io/guides/search/full-text-search.md): Upsert and search typed JSON documents in Pinecone with BM25 scoring, Lucene query syntax, dense and sparse vector ranking, and metadat…
- [Semantic search](https://docs.pinecone.io/guides/search/semantic-search.md): Search a Pinecone index of dense vectors to find semantically similar records using text or vector queries, top_k results, and nearest…
- [Lexical search](https://docs.pinecone.io/guides/search/lexical-search.md): Run sparse-vector lexical search in Pinecone with custom sparse encoders like pinecone-sparse-english-v0 for token-weighted keyword ret…
- [Hybrid search](https://docs.pinecone.io/guides/search/hybrid-search.md): Combine dense semantic search with sparse lexical search in a single Pinecone query to improve recall for keyword matches, synonyms, an…
- [Reciprocal rank fusion](https://docs.pinecone.io/guides/search/reciprocal-rank-fusion.md): Combine results from separate Pinecone searches into a single ranking with reciprocal rank fusion (RRF), a client-side method that fuse…
- [Filter by metadata](https://docs.pinecone.io/guides/search/filter-by-metadata.md): Narrow Pinecone search results by adding metadata filter expressions to your query, using operators like $eq, $in, $gt, and $and for pr…
- [Rerank results](https://docs.pinecone.io/guides/search/rerank-results.md): Improve retrieval quality by reranking initial search results with a hosted or external model to surface the most relevant matches for…
- [Increase search relevance](https://docs.pinecone.io/guides/optimize/increase-relevance.md): Improve Pinecone search quality with reranking models, metadata filtering, and hybrid search that combines full-text and vector retriev…
- [Increase throughput](https://docs.pinecone.io/guides/optimize/increase-throughput.md): Increase Pinecone throughput with bulk import from object storage, batch upserts, parallel requests, and the Python gRPC SDK for faster…
- [Decrease latency](https://docs.pinecone.io/guides/optimize/decrease-latency.md): Reduce query and upsert latency in Pinecone using namespaces, metadata filters, targeting indexes by host, and regional colocation stra…
- [Save on costs](https://docs.pinecone.io/guides/optimize/save-on-costs.md): Save on Pinecone costs by using bulk import over upsert, namespaces for multitenancy, and query patterns that reduce read unit consumpt…
- [Target an index](https://docs.pinecone.io/guides/manage-data/target-an-index.md): Target a Pinecone index by host URL (recommended for production) or by name for data operations like upsert, query, and fetch across SD…
- [Manage serverless indexes](https://docs.pinecone.io/guides/manage-data/manage-indexes.md): List, describe, configure, and delete serverless indexes in Pinecone, including tags, deletion protection, and metadata index configura…
- [Manage namespaces](https://docs.pinecone.io/guides/manage-data/manage-namespaces.md): Create, describe, list, and delete namespaces in Pinecone serverless indexes, including defining filterable metadata fields and schemas…
- [Backups overview](https://docs.pinecone.io/guides/manage-data/backups-overview.md): Learn how serverless index backups work in Pinecone, including scheduled backups, retention policies, and use cases for restoring or co…
- [Back up an index](https://docs.pinecone.io/guides/manage-data/back-up-an-index.md): Create backups of serverless indexes to protect data, copy indexes, or experiment with configurations using the Pinecone SDK, API, or c…
- [Restore an index](https://docs.pinecone.io/guides/manage-data/restore-an-index.md): Restore a Pinecone serverless index from a backup, change the index name, tags, or deletion protection, and preserve embedding model co…
- [Update records](https://docs.pinecone.io/guides/manage-data/update-data.md): Update Pinecone records by ID to change vector values or metadata, or update metadata across multiple records using a metadata filter e…
- [Delete records](https://docs.pinecone.io/guides/manage-data/delete-data.md): Delete records from a Pinecone index namespace by ID or metadata filter, including delete-by-ID, delete-all, and delete-by-metadata ope…
- [Fetch records](https://docs.pinecone.io/guides/manage-data/fetch-data.md): Retrieve full Pinecone records by ID from a namespace to inspect vector values, metadata, and IDs, or verify upserts using the fetch op…
- [List record IDs](https://docs.pinecone.io/guides/manage-data/list-record-ids.md): List the IDs of records in a Pinecone serverless namespace, filter by ID prefix, and paginate results to verify upserts cheaply and qui…
- [Understanding cost](https://docs.pinecone.io/guides/manage-cost/understanding-cost.md): Understand how costs are incurred in Pinecone, including read units (RUs), write units (WUs), storage, egress, and embedding.
- [Manage cost](https://docs.pinecone.io/guides/manage-cost/manage-cost.md): Reduce Pinecone spend with strategies like spend alerts, ID-prefix listing, multitenant namespaces, prepaid credits, and support cost o…
- [Monitor usage and costs](https://docs.pinecone.io/guides/manage-cost/monitor-usage-and-costs.md): Monitor Pinecone usage and costs at the organization, index, and operation level by tracking read units, write units, and storage consu…
- [Production checklist](https://docs.pinecone.io/guides/production/production-checklist.md): Prepare Pinecone indexes for production with best practices for project structure, security, scaling, API keys, and reliability across…
- [Bring your own cloud (BYOC)](https://docs.pinecone.io/guides/production/bring-your-own-cloud.md): Deploy Pinecone BYOC in your own AWS, GCP, or Azure account for data sovereignty, network isolation, and regional data residency requir…
- [Security overview](https://docs.pinecone.io/guides/production/security-overview.md): Overview of Pinecone security features for production: API keys, SSO, service accounts, audit logs, CMEK encryption, backups, and Priva…
- [Manage roles and access](https://docs.pinecone.io/guides/production/manage-rbac.md): Assign and manage roles for users, service accounts, and API keys using the Pinecone console or the Admin API.
- [Configure SSO with Okta](https://docs.pinecone.io/guides/production/configure-single-sign-on/okta.md): Set up SAML single sign-on between Pinecone and Okta so your organization members can log in with corporate credentials.
- [Manage roles with Okta](https://docs.pinecone.io/guides/production/configure-single-sign-on/okta-role-management.md): Automatically assign Pinecone organization and project roles from SAML attributes with Okta.
- [SCIM provisioning with Okta](https://docs.pinecone.io/guides/production/configure-single-sign-on/okta-scim-provisioning.md): Automatically provision members and roles from Okta to Pinecone over SCIM.
- [Configure customer-managed encryption keys](https://docs.pinecone.io/guides/production/configure-cmek.md): Set up customer-managed encryption keys (CMEK) with AWS KMS to encrypt Pinecone data with keys you control, using IAM roles and key pol…
- [Configure Private Endpoints](https://docs.pinecone.io/guides/production/configure-private-endpoints.md): Configure Pinecone Private Endpoints with AWS PrivateLink or Azure Private Link to keep index traffic off the public internet and secur…
- [Data deletion on Pinecone](https://docs.pinecone.io/guides/production/data-deletion.md): Learn how Pinecone permanently deletes customer data, including soft deletion, the 90-day retention window, and secure erasure of recor…
- [Configure audit logs](https://docs.pinecone.io/guides/production/configure-audit-logs.md): Enable Pinecone audit logging to an Amazon S3 bucket to track user, service account, and API actions for compliance, security review, a…
- [Error handling](https://docs.pinecone.io/guides/production/error-handling.md): Handle Pinecone API errors with retry logic, exponential backoff, and best practices for 4xx client errors, 5xx server errors, and rate…
- [Monitor performance](https://docs.pinecone.io/guides/production/monitoring.md): Monitor Pinecone index performance metrics (query latency, throughput, and errors) in the Pinecone console or via Prometheus and Datado…
- [CI/CD with Pinecone Local and GitHub Actions](https://docs.pinecone.io/guides/production/automated-testing.md): Build a GitHub Actions CI/CD workflow with Pinecone Local to run automated integration tests against an in-memory emulator without touc…
- [Upgrade your plan](https://docs.pinecone.io/guides/organizations/manage-billing/upgrade-billing-plan.md): Upgrade to a paid Pinecone plan for higher limits, backups, private endpoints, audit logs, and access to the Builder, Standard, or Ente…
- [Change your payment method](https://docs.pinecone.io/guides/organizations/manage-billing/change-payment-method.md): Update your Pinecone organization payment method in the console, including credit card details, billing address, and payment preference…
- [Account deactivation for non-payment](https://docs.pinecone.io/guides/organizations/manage-billing/non-payment-account-deactivation.md): Learn what happens when a Pinecone account is deactivated for non-payment: 30-day data retention, permanent deletion, and how to reacti…
- [Downgrade your plan](https://docs.pinecone.io/guides/organizations/manage-billing/downgrade-billing-plan.md): Downgrade your Pinecone organization from a paid plan to the free Starter plan, including plan requirements, index limits, and billing…
- [Download a usage report](https://docs.pinecone.io/guides/organizations/manage-billing/download-usage-report.md): Download detailed Pinecone usage and cost reports from the console, including index consumption, storage metrics, and per-project spend…
- [Access your invoices](https://docs.pinecone.io/guides/organizations/manage-billing/access-your-invoices.md): View and download your Pinecone organization billing invoices in the console, including invoice history, receipts, and payment records.
- [Standard trial](https://docs.pinecone.io/guides/organizations/manage-billing/standard-trial.md): Get $300 in credits over 21 days with the Pinecone Standard plan trial, including RBAC, bulk import, backup and restore, and higher sca…
- [Understanding organizations](https://docs.pinecone.io/guides/organizations/understanding-organizations.md): Learn how Pinecone organizations group projects, share billing, and use organization roles to control member permissions and access to…
- [Manage organization members](https://docs.pinecone.io/guides/organizations/manage-organization-members.md): Add, invite, and manage members in your Pinecone organization, including assigning organization roles, changing permissions, and removi…
- [Manage service accounts at the organization-level](https://docs.pinecone.io/guides/organizations/manage-service-accounts.md): Create and manage service accounts at the organization level in Pinecone for programmatic Admin API access, including client secrets an…
- [Understanding projects](https://docs.pinecone.io/guides/projects/understanding-projects.md): Learn how Pinecone projects organize indexes, cloud environments, API keys, and members, including project roles and per-role permissio…
- [Create a project](https://docs.pinecone.io/guides/projects/create-a-project.md): Create a new Pinecone project in your organization using the console or Admin API, including project name, tags, and customer-managed e…
- [Manage projects](https://docs.pinecone.io/guides/projects/manage-projects.md): View project details, rename projects, and delete projects in your Pinecone organization using the console or Admin API with owner perm…
- [Manage project members](https://docs.pinecone.io/guides/projects/manage-project-members.md): Add, remove, and update Pinecone project members using role-based access control (RBAC) to manage permissions and project owner roles.
- [Manage API keys](https://docs.pinecone.io/guides/projects/manage-api-keys.md): Create, view, update, and delete Pinecone API keys with custom permissions per project, including scoped roles and data plane access co…
- [Manage service accounts at the project-level](https://docs.pinecone.io/guides/projects/manage-service-accounts.md): Add service accounts to a Pinecone project and assign project roles to enable programmatic API access for automated workflows and CI pi…
- [Integrate with Amazon S3](https://docs.pinecone.io/guides/operations/integrations/integrate-with-amazon-s3.md): Connect Pinecone to an Amazon S3 bucket using an IAM role to import data and export audit logs.
- [Integrate with Google Cloud Storage](https://docs.pinecone.io/guides/operations/integrations/integrate-with-google-cloud-storage.md): Connect Pinecone to a Google Cloud Storage bucket with a service account key to import data into your indexes.
- [Integrate with Azure Blob Storage](https://docs.pinecone.io/guides/operations/integrations/integrate-with-azure-blob-storage.md): Connect Pinecone to Azure Blob Storage using a service principal to import data into your indexes.
- [Manage storage integrations](https://docs.pinecone.io/guides/operations/integrations/manage-storage-integrations.md): Update or delete existing Amazon S3, Google Cloud Storage, and Azure Blob storage integrations for your Pinecone project in the console.
- [Use the Pinecone MCP server](https://docs.pinecone.io/guides/operations/mcp-server.md): Connect AI agents to Pinecone through the MCP server to search docs, manage indexes, and query data from Claude, Cursor, Antigravity, o…
- [Local development with Pinecone Local](https://docs.pinecone.io/guides/operations/local-development.md): Run Pinecone Local, an in-memory Docker emulator, to develop and test apps offline without an account or usage fees.
- [Understanding pod-based indexes](https://docs.pinecone.io/guides/indexes/pods/understanding-pod-based-indexes.md): Understand Pinecone pod-based indexes, including pod types and sizing. Legacy: pod indexes are unavailable to new customers; use server…
- [Migrate a pod-based index to serverless](https://docs.pinecone.io/guides/indexes/pods/migrate-a-pod-based-index-to-serverless.md): Migrate a Pinecone pod-based index to serverless for automatic scaling, better performance, and usage-based pricing with no minimum spe…
- [Choose a pod type and size](https://docs.pinecone.io/guides/indexes/pods/choose-a-pod-type-and-size.md): Choose a Pinecone pod type and size (s1, p1, p2). Legacy guide: pods are unavailable to new customers as of August 2025; serverless nee…
- [Create a pod-based index](https://docs.pinecone.io/guides/indexes/pods/create-a-pod-based-index.md): Create a Pinecone pod-based index. Legacy guide: new customers cannot create pod indexes as of August 2025; use serverless index creati…
- [Manage pod-based indexes](https://docs.pinecone.io/guides/indexes/pods/manage-pod-based-indexes.md): Manage Pinecone pod-based indexes. Legacy guide: pod indexes are unavailable to new customers as of August 2025; serverless is recommen…
- [Scale pod-based indexes](https://docs.pinecone.io/guides/indexes/pods/scale-pod-based-indexes.md): Scale Pinecone pod-based indexes by adding pods or replicas. Legacy guide: pod indexes are unavailable to new customers; serverless sca…
- [Understanding collections](https://docs.pinecone.io/guides/indexes/pods/understanding-collections.md): Legacy documentation for Pinecone collections, a pod-only feature for creating static index snapshots. Collections are not available fo…
- [Back up a pod-based index](https://docs.pinecone.io/guides/indexes/pods/back-up-a-pod-based-index.md): Legacy guide for backing up Pinecone pod-based indexes using collections. Collections are a pod-only feature not available for serverle…
- [Restore a pod-based index](https://docs.pinecone.io/guides/indexes/pods/restore-a-pod-based-index.md): Legacy guide for restoring Pinecone pod-based indexes from collections. Pod indexes are no longer available to new customers as of Augu…
- [API reference](https://docs.pinecone.io/reference/api/introduction.md): Pinecone API reference overview for Database, Inference, and Admin endpoints with supported SDKs including Python, Node.js, Java, and G…
- [Authentication](https://docs.pinecone.io/reference/api/authentication.md): Pinecone API authentication guide covering API key generation, SDK client setup, and HTTP header configuration for authorized requests.
- [API versioning](https://docs.pinecone.io/reference/api/versioning.md): Pinecone REST API: Pinecone's APIs are versioned to ensure that your applications continue to work as expected as the platform evolves.
- [Pinecone Database limits](https://docs.pinecone.io/reference/api/database-limits.md): Reference for Pinecone Database limits, covering upsert, query, fetch, delete, import, namespace, and rate limits for serverless indexe…
- [Known limitations](https://docs.pinecone.io/reference/api/known-limitations.md): Known limitations and feature restrictions for Pinecone indexes, including upsert consistency, metadata rules, and serverless caveats.
- [Errors](https://docs.pinecone.io/reference/api/errors.md): Pinecone REST API: Pinecone uses conventional HTTP response codes to indicate the success or failure of an API request. In general, cod…
- [Generate vectors](https://docs.pinecone.io/reference/api/2026-04/inference/generate-embeddings.md): Generate vector embeddings for input data. This endpoint uses Pinecone's [hosted embedding models](https://docs.pinecone.io/guides/inde…
- [Rerank results](https://docs.pinecone.io/reference/api/2026-04/inference/rerank.md): Rerank results according to their relevance to a query.
- [List available models](https://docs.pinecone.io/reference/api/2026-04/inference/list_models.md): List the embedding and reranking models hosted by Pinecone.
- [Describe a model](https://docs.pinecone.io/reference/api/2026-04/inference/describe_model.md): Get a description of a model hosted by Pinecone.
- [Create an API key](https://docs.pinecone.io/reference/api/2026-04/admin/create_api_key.md): Create an API key for a project to authenticate Data Plane and Control Plane requests.
- [List API keys](https://docs.pinecone.io/reference/api/2026-04/admin/list_api_keys.md): List all API keys in a project.
- [Get API key details](https://docs.pinecone.io/reference/api/2026-04/admin/fetch_api_key.md): Get an API key's details, excluding its secret.
- [Update an API key](https://docs.pinecone.io/reference/api/2026-04/admin/update_api_key.md): Update an API key's name and roles.
- [Delete an API key](https://docs.pinecone.io/reference/api/2026-04/admin/delete_api_key.md): Delete an API key from a project.
- [Create a new project](https://docs.pinecone.io/reference/api/2026-04/admin/create_project.md): Create a new project.
- [List projects](https://docs.pinecone.io/reference/api/2026-04/admin/list_projects.md): List all projects in an organization.
- [Get project details](https://docs.pinecone.io/reference/api/2026-04/admin/fetch_project.md): Get a project's details.
- [Update a project](https://docs.pinecone.io/reference/api/2026-04/admin/update_project.md): Update a project's name, maximum number of Pods, or customer-managed encryption key (CMEK).
- [Delete a project](https://docs.pinecone.io/reference/api/2026-04/admin/delete_project.md): Delete a project and all its configuration; delete its indexes, assistants, backups, and collections first.
- [Create a service account](https://docs.pinecone.io/reference/api/2026-04/admin/create_service_account.md): Create a service account with optional initial role bindings; the client secret is returned only once.
- [List service accounts](https://docs.pinecone.io/reference/api/2026-04/admin/list_service_accounts.md): List service accounts in the caller's organization.
- [Get service account details](https://docs.pinecone.io/reference/api/2026-04/admin/fetch_service_account.md): Get a service account by ID; the client secret is returned only from create and rotate-secret requests.
- [Update a service account](https://docs.pinecone.io/reference/api/2026-04/admin/update_service_account.md): Update a service account's name; role bindings are managed through the role-binding endpoints.
- [Delete a service account](https://docs.pinecone.io/reference/api/2026-04/admin/delete_service_account.md): Delete a service account and its role bindings; tokens it minted are revoked within a few seconds.
- [Rotate a service account's OAuth client secret](https://docs.pinecone.io/reference/api/2026-04/admin/rotate_service_account_secret.md): Rotate a service account's OAuth client secret; the previous secret and its tokens are revoked within seconds and the new secret is ret…
- [Create an access token](https://docs.pinecone.io/reference/api/2026-04/admin/get_token.md): Obtain an access token for a service account using the OAuth2 client credentials flow. An access token is needed to authorize requests…
- [List users in the organization](https://docs.pinecone.io/reference/api/2026-04/admin/list_users.md): List users in the caller's organization, optionally filtered by email address.
- [Get user details](https://docs.pinecone.io/reference/api/2026-04/admin/fetch_user.md): Get a user in the caller's organization by ID.
- [Remove a user from the organization](https://docs.pinecone.io/reference/api/2026-04/admin/delete_user.md): Remove a user from the organization and revoke their role bindings; their Pinecone account is not deleted.
- [Invite a user to the organization](https://docs.pinecone.io/reference/api/2026-04/admin/create_invite.md): Invite a user to the organization by email and grant their initial role bindings.
- [List invites](https://docs.pinecone.io/reference/api/2026-04/admin/list_invites.md): List pending and expired invites in the caller's organization.
- [Get invite details](https://docs.pinecone.io/reference/api/2026-04/admin/fetch_invite.md): Get an invite in the caller's organization by ID.
- [Delete an invite](https://docs.pinecone.io/reference/api/2026-04/admin/delete_invite.md): Delete a pending or expired invite and its role bindings; to remove an accepted user, delete the user instead.
- [Resend an invite email](https://docs.pinecone.io/reference/api/2026-04/admin/resend_invite.md): Resend the invite email and extend its expiration to 7 days from now; limited to 100 emails per hour per organization.
- [Create a role binding](https://docs.pinecone.io/reference/api/2026-04/admin/create_role_binding.md): Grant a role to a principal at an organization or project scope.
- [List role bindings](https://docs.pinecone.io/reference/api/2026-04/admin/list_role_bindings.md): List role bindings in the caller's organization, optionally filtered by principal, resource, and role.
- [Get role binding details](https://docs.pinecone.io/reference/api/2026-04/admin/fetch_role_binding.md): Get a role binding in the caller's organization by ID.
- [Delete a role binding](https://docs.pinecone.io/reference/api/2026-04/admin/delete_role_binding.md): Delete a role binding; permissions are revoked when the deletion completes.
- [Pinecone SDKs overview](https://docs.pinecone.io/reference/pinecone-sdks.md): Browse official Pinecone SDKs for Python, Node.js, Java, and Go, including the version mappings between SDK releases and API versions.
- [Pinecone Python SDK](https://docs.pinecone.io/reference/sdks/python/overview.md): Install and use the Pinecone SDK for Pinecone Python SDK: auth, typed clients, and API operations. For installation instructions, usage…
- [Reference](https://docs.pinecone.io/reference/sdks/python/reference.md): Reference documentation for the Pinecone Python SDK, including client setup, types, and methods for managing indexes and vector data op…
- [Pinecone Node.js SDK](https://docs.pinecone.io/reference/sdks/node/overview.md): Install and use the Pinecone Node.js and TypeScript SDK to manage indexes, upsert vectors, run semantic search, and call the Admin and…
- [Reference](https://docs.pinecone.io/reference/sdks/node/reference.md): Reference documentation for the Pinecone Node.js SDK, including client setup, types, and methods for managing indexes and vector data o…
- [Pinecone Java SDK](https://docs.pinecone.io/reference/sdks/java/overview.md): Install and use the Pinecone Java SDK to manage indexes and namespaces, upsert vectors, run semantic search, and call the Admin and Inf…
- [Reference](https://docs.pinecone.io/reference/sdks/java/reference.md): Reference documentation for the Pinecone Java SDK, including client setup, types, and methods for managing indexes and vector data oper…
- [OpenTelemetry support](https://docs.pinecone.io/reference/sdks/java/open-telemetry.md): Monitor Pinecone Java SDK operations with OpenTelemetry metrics for client latency, server processing time, and errors via Prometheus.
- [Pinecone Go SDK](https://docs.pinecone.io/reference/sdks/go/overview.md): Install and use the Pinecone Go SDK to manage indexes and namespaces, upsert vectors, run semantic search, and call the Admin and Infer…
- [Reference](https://docs.pinecone.io/reference/sdks/go/reference.md): Reference documentation for the Pinecone Go SDK, including client setup, types, and methods for managing indexes and vector data operat…
- [CLI quickstart](https://docs.pinecone.io/reference/cli/quickstart.md): Pinecone CLI quickstart for installing pc, authenticating, and managing indexes, vectors, and data imports directly from your terminal.
- [CLI command reference](https://docs.pinecone.io/reference/cli/command-reference.md): Complete Pinecone CLI command reference covering syntax, subcommands, flags, help output, and exit codes for auth, index, and project.
- [CLI authentication](https://docs.pinecone.io/reference/cli/authentication.md): Authenticate the Pinecone CLI using user login, service accounts, or API keys, including auth priority and Admin API access rules.
- [CLI target context](https://docs.pinecone.io/reference/cli/target-context.md): Pinecone CLI: The CLI's **target context** determines which organization and project your commands operate on. You must authenticate be…
- [Spark-Pinecone connector](https://docs.pinecone.io/reference/tools/pinecone-spark-connector.md): Pinecone data tools: Use the connector to efficiently create, ingest, and update vector embeddings at scale with Databricks and Pinecon…
- [List indexes](https://docs.pinecone.io/reference/api/2026-04/control-plane/list_indexes.md): List all indexes in a project.
- [Create an index](https://docs.pinecone.io/reference/api/2026-04/control-plane/create_index.md): Create a Pinecone index. This is where you specify the measure of similarity, the dimension of vectors to be stored in the index, which…
- [Create an index with integrated embedding](https://docs.pinecone.io/reference/api/2026-04/control-plane/create_for_model.md): Create an index with integrated embedding. With this type of index, you provide source text, and  Pinecone uses a [hosted embedding mod…
- [Describe an index](https://docs.pinecone.io/reference/api/2026-04/control-plane/describe_index.md): Get a description of an index.
- [Delete an index](https://docs.pinecone.io/reference/api/2026-04/control-plane/delete_index.md): Delete an existing index.
- [Configure an index](https://docs.pinecone.io/reference/api/2026-04/control-plane/configure_index.md): Configure an existing index. For guidance and examples, see [Manage indexes](https://docs.pinecone.io/guides/manage-data/manage-indexes…
- [Get index stats](https://docs.pinecone.io/reference/api/2026-04/data-plane/describeindexstats.md): Return statistics about the contents of an index, including the vector count per namespace, the number of dimensions, and the index ful…
- [List namespaces](https://docs.pinecone.io/reference/api/2026-04/data-plane/listnamespaces.md): List all namespaces in a serverless index.
- [Create a namespace](https://docs.pinecone.io/reference/api/2026-04/data-plane/createnamespace.md): Create a namespace in a serverless index.
- [Describe a namespace](https://docs.pinecone.io/reference/api/2026-04/data-plane/describenamespace.md): Describe a namespace in a serverless index, including the total number of vectors in the namespace.
- [Delete a namespace](https://docs.pinecone.io/reference/api/2026-04/data-plane/deletenamespace.md): Delete a namespace from a serverless index. Deleting a namespace is irreversible; all data in the namespace is permanently deleted.
- [Upsert records](https://docs.pinecone.io/reference/api/2026-04/data-plane/upsert.md): Upsert records into a namespace. If a new value is upserted for an existing record ID, it will overwrite the previous value.
- [Upsert text](https://docs.pinecone.io/reference/api/2026-04/data-plane/upsert_records.md): Upsert text into a namespace. Pinecone converts the text to vectors automatically using the hosted embedding model associated with the…
- [Fetch records](https://docs.pinecone.io/reference/api/2026-04/data-plane/fetch.md): Look up and return records by ID from a single namespace. The returned records include the vector data and/or metadata. For on-demand i…
- [Fetch records by metadata](https://docs.pinecone.io/reference/api/2026-04/data-plane/fetch_by_metadata.md): Look up and return records by metadata from a single namespace. The returned records include the vector data and metadata. For guidance…
- [Update a record](https://docs.pinecone.io/reference/api/2026-04/data-plane/update.md): Update records by ID or by metadata in a namespace. Updating by ID changes the vector and/or metadata of a single record. Updating by m…
- [Delete records](https://docs.pinecone.io/reference/api/2026-04/data-plane/delete.md): Delete records by id or by metadata from a single namespace.
- [List record IDs](https://docs.pinecone.io/reference/api/2026-04/data-plane/list.md): List the IDs of records in a single namespace of a serverless index. An optional prefix can be passed to limit the results to IDs with…
- [Search with a vector](https://docs.pinecone.io/reference/api/2026-04/data-plane/query.md): Search a namespace using a query vector. It retrieves the ids of the most similar items in a namespace, along with their similarity sco…
- [Search with text](https://docs.pinecone.io/reference/api/2026-04/data-plane/search_records.md): Search a namespace with a query text, query vector, or record ID and return the most similar records, along with their similarity score…
- [Start import](https://docs.pinecone.io/reference/api/2026-04/data-plane/start_import.md): Start an asynchronous import of vectors from object storage into an index.
- [List imports](https://docs.pinecone.io/reference/api/2026-04/data-plane/list_imports.md): List all recent and ongoing import operations.
- [Describe an import](https://docs.pinecone.io/reference/api/2026-04/data-plane/describe_import.md): Return details of a specific import operation.
- [Cancel an import](https://docs.pinecone.io/reference/api/2026-04/data-plane/cancel_import.md): Cancel an import operation if it is not yet finished. It has no effect if the operation is already finished.
- [Create a backup of an index](https://docs.pinecone.io/reference/api/2026-04/control-plane/create_backup.md): Create a backup of an index.
- [List backups for all indexes in a project](https://docs.pinecone.io/reference/api/2026-04/control-plane/list_project_backups.md): List all backups for a project.
- [List backups for an index](https://docs.pinecone.io/reference/api/2026-04/control-plane/list_index_backups.md): When `include_deleted` is false (or omitted), `index_name` must resolve to an active index in the project. If no active index by that n…
- [Describe a backup](https://docs.pinecone.io/reference/api/2026-04/control-plane/describe_backup.md): Get a description of a backup.
- [Delete a backup](https://docs.pinecone.io/reference/api/2026-04/control-plane/delete_backup.md): Delete a backup.
- [Create an index from a backup](https://docs.pinecone.io/reference/api/2026-04/control-plane/create_index_from_backup.md): Create an index from a backup. For serverless backups, you can optionally set `read_capacity` so the restored index is created with ded…
- [List restore jobs](https://docs.pinecone.io/reference/api/2026-04/control-plane/list_restore_jobs.md): List all restore jobs for a project.
- [Describe a restore job](https://docs.pinecone.io/reference/api/2026-04/control-plane/describe_restore_job.md): Get a description of a restore job.
- [List collections](https://docs.pinecone.io/reference/api/2026-04/control-plane/list_collections.md): List all collections in a project. Serverless indexes do not support collections.
- [Create a collection](https://docs.pinecone.io/reference/api/2026-04/control-plane/create_collection.md): Create a Pinecone collection.    Serverless indexes do not support collections.
- [Describe a collection](https://docs.pinecone.io/reference/api/2026-04/control-plane/describe_collection.md): Get a description of a collection. Serverless indexes do not support collections.
- [Delete a collection](https://docs.pinecone.io/reference/api/2026-04/control-plane/delete_collection.md): Delete an existing collection. Serverless indexes do not support collections.
- [Create backup schedule](https://docs.pinecone.io/reference/api/2026-04/control-plane/create_backup_schedule.md): Create a recurring backup schedule for a Pinecone serverless index using the API, including daily, weekly, or monthly frequency and ret…
- [List backup schedules](https://docs.pinecone.io/reference/api/2026-04/control-plane/list_backup_schedules.md): List all backup schedules configured for a Pinecone serverless index, including schedule IDs, frequency, retention, and next scheduled…
- [Describe backup schedule](https://docs.pinecone.io/reference/api/2026-04/control-plane/describe_backup_schedule.md): Retrieve details for a Pinecone backup schedule by schedule ID, including frequency, retention days, next scheduled run, and enabled st…
- [Update backup schedule](https://docs.pinecone.io/reference/api/2026-04/control-plane/update_backup_schedule.md): Update a Pinecone backup schedule using the API, including pausing with enabled, changing frequency, and adjusting the retention expire…
- [Delete backup schedule](https://docs.pinecone.io/reference/api/2026-04/control-plane/delete_backup_schedule.md): Delete a backup schedule for a Pinecone serverless index using the API by schedule ID, while preserving all previously created backup s…
- [List backup schedule history](https://docs.pinecone.io/reference/api/2026-04/control-plane/list_backup_schedule_history.md): List execution history for a Pinecone backup schedule, including scheduled runs, completed backups, statuses, and cursor-based paginati…
- [Notebooks](https://docs.pinecone.io/examples/notebooks.md): Runnable Colab notebooks covering semantic search, lexical search, hybrid search, RAG, embeddings, reranking, and data ingestion with P…
- [Sample apps](https://docs.pinecone.io/examples/sample-apps.md): Full-stack sample applications built with Pinecone: semantic search over PDFs, multi-tenant RAG with namespace isolation, multimodal se…
- [Reference architectures](https://docs.pinecone.io/examples/reference-architectures.md): Official AWS reference architecture for building high-scale production systems with Pinecone, including Pulumi IaC, documentation, and…
- [Model Gallery](https://docs.pinecone.io/models/overview.md): Browse Pinecone's hosted embedding and reranking model gallery with details on dimensions, sequence length, pricing, and supported task…
- [Integrations](https://docs.pinecone.io/integrations/overview.md): Browse Pinecone integrations across vector embedding providers, data ingestion tools, frameworks, and infrastructure to ship AI apps fa…
- [Agent Skills](https://docs.pinecone.io/integrations/agent-skills.md): Install the Pinecone Agent Skills library in any agentic IDE to manage indexes, run semantic search, and build RAG assistants with natu…
- [Claude Code Plugin](https://docs.pinecone.io/integrations/claude-code.md): Install the official Pinecone plugin for Claude Code to manage indexes, run vector search, and build RAG assistants from the terminal w…
- [Cursor Plugin](https://docs.pinecone.io/integrations/cursor.md): Install the official Pinecone plugin for Cursor to manage indexes, run vector search, and build RAG apps from the editor using MCP and…
- [Gemini CLI Extension](https://docs.pinecone.io/integrations/gemini-cli.md): Install the official Pinecone extension for Gemini CLI to manage indexes, run vector search, and build RAG assistants with natural-lang…
- [Airbyte](https://docs.pinecone.io/integrations/airbyte.md): Use the Airbyte Pinecone destination connector to build no-code ETL pipelines that embed source data and upsert vectors for semantic se…
- [Apify](https://docs.pinecone.io/integrations/apify.md): Use the Apify Pinecone integration to crawl and scrape websites, embed the results, and upsert vectors for RAG and semantic search over…
- [Aryn](https://docs.pinecone.io/integrations/aryn.md): Use Aryn Sycamore and the Partitioning Service with Pinecone to extract, chunk, and embed complex PDFs and documents for higher-accurac…
- [Box](https://docs.pinecone.io/integrations/box.md): Connect Box folders to Pinecone Database to embed documents with Pinecone Inference and build RAG agents and semantic search over Box c…
- [Confluent](https://docs.pinecone.io/integrations/confluent.md): Use the Pinecone Sink Connector for Confluent Kafka to stream events, embed them with LLMs, and upsert vectors for real-time semantic s…
- [Databricks](https://docs.pinecone.io/integrations/databricks.md): Use Databricks and the Pinecone Spark connector to distribute embedding jobs across a cluster and upsert vectors at scale for semantic…
- [Datavolo](https://docs.pinecone.io/integrations/datavolo.md): Use Datavolo pipelines to source, transform, and enrich unstructured data into Pinecone for retrieval augmented generation and multimod…
- [Estuary](https://docs.pinecone.io/integrations/estuary.md): Use the Estuary Pinecone connector to build real-time, millisecond-latency pipelines that incrementally embed source data for LLM searc…
- [Fleak](https://docs.pinecone.io/integrations/fleak.md): Use Fleak's low-code workflows with Pinecone to combine SQL, LLM inference, and vector search in serverless APIs for RAG and data enric…
- [FlowiseAI](https://docs.pinecone.io/integrations/flowise.md): Use FlowiseAI with Pinecone to build low-code LLM apps that upsert documents and query vector indexes for RAG chatbots and semantic sea…
- [Gathr](https://docs.pinecone.io/integrations/gathr.md): Use Gathr's no-code data-to-outcome platform with Pinecone to build enterprise RAG apps, chatbots, and vector pipelines from ingestion…
- [Matillion](https://docs.pinecone.io/integrations/matillion.md): Use Matillion Data Productivity Cloud to chunk, embed, and upsert data into Pinecone with low-code AI pipelines for RAG, ETL, and GenAI…
- [Nexla](https://docs.pinecone.io/integrations/nexla.md): Use Nexla no-code data pipelines to ingest from SharePoint, OneDrive, and 500+ sources into Pinecone for enterprise RAG and vector sear…
- [Redpanda](https://docs.pinecone.io/integrations/redpanda.md): Stream events into Pinecone with Redpanda Connect's declarative YAML pipelines for real-time vector ingestion, at-least-once delivery,…
- [Snowflake](https://docs.pinecone.io/integrations/snowflake.md): Deploy Pinecone on Snowpark Container Services to run vector search and GenAI apps inside Snowflake without moving data out of your war…
- [StreamNative](https://docs.pinecone.io/integrations/streamnative.md): Pipe Apache Pulsar topics to Pinecone via the StreamNative sink connector for real-time vector ingestion, event streaming, and Kafka-co…
- [Unstructured](https://docs.pinecone.io/integrations/unstructured.md): Use Unstructured to parse, chunk, and load PDFs, Word, and 25+ document types into Pinecone for LLM-ready RAG ETL pipelines and semanti…
- [AI Engine](https://docs.pinecone.io/integrations/ai-engine.md): Use the AI Engine WordPress plugin with Pinecone to power chatbots, semantic search, and RAG over site content directly from your WordP…
- [Amazon Bedrock](https://docs.pinecone.io/integrations/amazon-bedrock.md): Select Pinecone as a Knowledge Base for Amazon Bedrock to ground LLMs with your enterprise data and build accurate, low-latency RAG app…
- [Amazon SageMaker](https://docs.pinecone.io/integrations/amazon-sagemaker.md): Combine Amazon SageMaker with Pinecone to host LLMs and embedding models for scalable retrieval augmented generation and vector search…
- [Cloudera AI](https://docs.pinecone.io/integrations/cloudera.md): Integrate Cloudera AI with Pinecone to run distributed Spark and Python embedding pipelines and power scalable RAG and vector search on…
- [Context Data](https://docs.pinecone.io/integrations/context-data.md): Use Context Data with Pinecone to build no-code flows from Postgres, S3, Salesforce, and more, embedding data and querying indexes in Q…
- [Genkit](https://docs.pinecone.io/integrations/genkit.md): Use the Genkit Pinecone plugin with Firebase to build AI features with type-safe indexers, embedders, and retrievers for RAG and semant…
- [Haystack](https://docs.pinecone.io/integrations/haystack.md): Use Deepset Haystack's PineconeDocumentStore to build production NLP pipelines that index, embed, and query documents for question answ…
- [Instill AI](https://docs.pinecone.io/integrations/instill.md): Wire Pinecone into Instill AI no-code pipelines to upsert, query, and power RAG agents, chatbots, and knowledge bases with vector simil…
- [LangChain](https://docs.pinecone.io/integrations/langchain.md): Build LangChain RAG apps, agents, and chatbots on Pinecone: manage embeddings, vector stores, retrievers, and chains for LLM-powered se…
- [LlamaIndex](https://docs.pinecone.io/integrations/llamaindex.md): Build LlamaIndex RAG pipelines on Pinecone: ingest documents, structure private data, and run semantic search and question-answering ov…
- [n8n](https://docs.pinecone.io/integrations/n8n.md): Automate Pinecone vector store and Assistant workflows in n8n: build RAG pipelines, semantic search, and no-code AI automations with 40…
- [Nuclia](https://docs.pinecone.io/integrations/nuclia.md): Power Nuclia RAG-as-a-Service with Pinecone: index documents, customize retrieval and chunking strategies, and deploy LLM knowledge box…
- [OctoAI](https://docs.pinecone.io/integrations/octoai.md): Combine OctoAI's GTE Large embeddings and open-source LLMs with Pinecone and Canopy for cost-effective RAG, semantic search, and genera…
- [VoltAgent](https://docs.pinecone.io/integrations/voltagent.md): Build TypeScript AI agents with VoltAgent and Pinecone: automatic embeddings, semantic search, metadata filtering, and observable RAG i…
- [AWS Marketplace](https://docs.pinecone.io/integrations/aws-marketplace.md): Subscribe to Pinecone through AWS Marketplace for centralized procurement, pay-as-you-go billing, and consolidated invoicing on your AW…
- [GitHub Copilot](https://docs.pinecone.io/integrations/github-copilot.md): Install the Pinecone GitHub Copilot Extension to query your indexes, get coding assistance for the Pinecone API, and debug RAG apps fro…
- [Google Cloud Marketplace](https://docs.pinecone.io/integrations/google-cloud-marketplace.md): Subscribe to Pinecone through Google Cloud Marketplace for centralized procurement, pay-as-you-go billing, and consolidated GCP invoici…
- [Microsoft Marketplace](https://docs.pinecone.io/integrations/microsoft-marketplace.md): Buy and manage Pinecone through Microsoft Marketplace with pay-as-you-go billing, centralized SaaS procurement, and simplified Azure li…
- [Pulumi](https://docs.pinecone.io/integrations/pulumi.md): Provision Pinecone indexes and collections as code with Pulumi in Python, TypeScript, Go, or C# for infrastructure-as-code vector datab…
- [Terraform](https://docs.pinecone.io/integrations/terraform.md): Manage Pinecone indexes, collections, API keys, and projects with the Terraform provider for repeatable infrastructure-as-code and DevO…
- [Vercel](https://docs.pinecone.io/integrations/vercel.md): Deploy AI apps on Vercel with Pinecone as long-term memory: one-click setup, scalable vector search, and RAG for Next.js and edge-deplo…
- [Zapier](https://docs.pinecone.io/integrations/zapier.md): Automate Pinecone with Zapier: trigger workflows on index changes, upsert data from spreadsheets, and connect vector search to 6,000+ n…
- [Anyscale](https://docs.pinecone.io/integrations/anyscale.md): Pair Anyscale Endpoints with Canopy and Pinecone to build RAG apps on managed open-source LLMs, with vector search and semantic retriev…
- [Cohere](https://docs.pinecone.io/integrations/cohere.md): Connect Pinecone and Cohere to ship vector search and RAG applications: generate Cohere embeddings, index them in Pinecone, and rerank…
- [Voyage AI](https://docs.pinecone.io/integrations/voyage.md): Generate top-ranked Voyage AI embeddings and rerankers, then index them in Pinecone for high-accuracy RAG, semantic search, and code re…
- [Hugging Face Inference Endpoints](https://docs.pinecone.io/integrations/hugging-face-inference-endpoints.md): Generate embeddings with Hugging Face Inference Endpoints and index them in Pinecone for semantic search, RAG, and transformer model de…
- [Jina AI](https://docs.pinecone.io/integrations/jina.md): Use Jina AI long-context embeddings with Pinecone for multilingual semantic search, RAG chatbots, and domain-specific retrieval up to 8…
- [OpenAI](https://docs.pinecone.io/integrations/openai.md): Pair OpenAI embeddings and completion models with Pinecone for semantic search, long-term memory, RAG, and context-aware LLM question-a…
- [Twelve Labs](https://docs.pinecone.io/integrations/twelve-labs.md): Store Twelve Labs multimodal video embeddings in Pinecone to power video search, recommendations, and content moderation with fast simi…
- [Datadog](https://docs.pinecone.io/integrations/datadog.md): Monitor Pinecone with the Datadog integration to track request latency, index fullness, and usage trends, and alert on anomalies in vec…
- [Langtrace](https://docs.pinecone.io/integrations/langtrace.md): Trace Pinecone API calls with Langtrace's OpenTelemetry SDK to debug RAG pipelines, monitor vector DB latency, and ship LLM observabili…
- [New Relic](https://docs.pinecone.io/integrations/new-relic.md): Monitor Pinecone with New Relic's Prometheus quickstart: dashboards, alerts, and AI observability for vector database latency and RAG p…
- [Traceloop](https://docs.pinecone.io/integrations/traceloop.md): Instrument Pinecone with Traceloop's OpenLLMetry SDK to emit OpenTelemetry traces and metrics for LLM observability in Datadog, Grafana…
- [TruLens](https://docs.pinecone.io/integrations/trulens.md): Evaluate and track Pinecone RAG apps with TruLens: measure grounding, relevance, and hallucinations to iterate on vector search configu…
- [Integration ecosystem](https://docs.pinecone.io/integrations/build-integration/integration-ecosystem.md): How Pinecone integrations are built with public SDKs and APIs and how listings on the Integrations hub are reviewed for partner support…
- [Attribute usage to your integration](https://docs.pinecone.io/integrations/build-integration/attribute-usage-to-your-integration.md): Attribute Pinecone SDK and REST usage to your integration with source tags and User-Agent values so support and analytics can trace tra…
- [Connect your users to Pinecone](https://docs.pinecone.io/integrations/build-integration/connect-your-users-to-pinecone.md): Embed a Connect to Pinecone flow in your app or notebook so users can sign in, choose a project, and receive an API key without leaving…
- [Contact Support](https://docs.pinecone.io/troubleshooting/contact-support.md): Troubleshoot “Contact Support” in Pinecone: Pinecone Support is available to customers on the Builder and Standard billing plans.
- [How to work with Support](https://docs.pinecone.io/troubleshooting/how-to-work-with-support.md): Troubleshoot “How to work with Support” in Pinecone: There are several best practices for working with Pinecone Support that can lead t…
- [Pinecone Support SLAs](https://docs.pinecone.io/troubleshooting/pinecone-support-slas.md): Troubleshoot “Pinecone Support SLAs” in Pinecone: New first-response SLAs went into effect on September 16th, 2024. See the pricing pag…
- [Login code issues](https://docs.pinecone.io/troubleshooting/login-code-issues.md): Troubleshoot “Login code issues” in Pinecone: If the email token you received from Pinecone is not accepted when logging in there may b…
- [Custom data processing agreements](https://docs.pinecone.io/troubleshooting/custom-data-processing-agreements.md): Request a custom data processing agreement (DPA) with Pinecone if your team requires terms beyond the standard agreement available on t…
- [Delete your organization](https://docs.pinecone.io/troubleshooting/delete-your-organization.md): Troubleshoot “Delete your organization” in Pinecone: If you want to delete your Pinecone organization entirely, you'll need to delete a…
- [Delete your account](https://docs.pinecone.io/troubleshooting/delete-your-account.md): Troubleshoot “Delete your account” in Pinecone: To delete your Pinecone account, you need to remove your user from all organizations an…
- [Billing disputes and refunds](https://docs.pinecone.io/troubleshooting/billing-disputes-and-refunds.md): Troubleshoot “Billing disputes and refunds” in Pinecone: As a rule, Pinecone does not offer refunds for unused indexes. If you use a po…
- [Wait for index creation to be complete](https://docs.pinecone.io/troubleshooting/wait-for-index-creation.md): Wait for Pinecone index creation to finish using describe_index polling in the Python SDK before upserting to avoid 403 or 404 errors.
- [Restrictions on index names](https://docs.pinecone.io/troubleshooting/restrictions-on-index-names.md): Troubleshoot “Restrictions on index names” in Pinecone: There are two main restrictions on index names in Pinecone: character restricti…
- [Return all vectors in an index](https://docs.pinecone.io/troubleshooting/return-all-vectors-in-an-index.md): Troubleshoot “Return all vectors in an index” in Pinecone: Pinecone is designed to find vectors that are similar to a given set of cond…
- [Embedding values changed when upserted](https://docs.pinecone.io/troubleshooting/embedding-values-changed-when-upserted.md): Diagnose why Pinecone embedding values appear changed after upsert, including float32 precision rounding and how the API serializes num…
- [Limitations of querying by ID](https://docs.pinecone.io/troubleshooting/limitations-of-querying-by-id.md): Understand why querying by record ID can omit that ID under ANN search, and when to use fetch or metadata filters to retrieve a specifi…
- [Index creation error - missing spec parameter](https://docs.pinecone.io/troubleshooting/index-creation-error-missing-spec.md): Troubleshoot “Index creation error - missing spec parameter” in Pinecone: Using the new API, creating an index requires passing appropr…
- [Serverless index creation error - max serverless indexes](https://docs.pinecone.io/troubleshooting/index-creation-error-max-serverless.md): Resolve the Pinecone serverless index creation error caused by hitting the 20-index project limit by deleting unused indexes or upgradi…
- [Serverless index connection errors](https://docs.pinecone.io/troubleshooting/serverless-index-connection-errors.md): Troubleshoot “Serverless index connection errors” in Pinecone: To connect to a serverless index, you must use an updated Pinecone clien…
- [Error: Handshake read failed when connecting](https://docs.pinecone.io/troubleshooting/error-handshake-read-failed.md): Troubleshoot “Error: Handshake read failed when connecting” in Pinecone: When trying to connect to Pinecone server, some users may rece…
- [PineconeAttribute errors with LangChain](https://docs.pinecone.io/troubleshooting/pinecone-attribute-errors-with-langchain.md): Resolve PineconeAttribute errors in LangChain caused by outdated packages by upgrading langchain-pinecone and the Pinecone Python SDK t…
- [Error: Cannot import name 'Pinecone' from 'pinecone'](https://docs.pinecone.io/troubleshooting/error-cannot-import-name-pinecone.md): Troubleshoot “Error: Cannot import name 'Pinecone' from 'pinecone'” in Pinecone: When using an older version of the Python SDK (earlier…
- [Python AttributeError: module pinecone has no attribute init](https://docs.pinecone.io/troubleshooting/module-pinecone-has-no-attribute-init.md): Troubleshoot “Python AttributeError: module pinecone has no attribute init” in Pinecone: If you are using Pinecone serverless and getti…
- [Node.js Troubleshooting](https://docs.pinecone.io/troubleshooting/nodejs-troubleshooting.md): Troubleshoot Pinecone Node.js SDK issues that work locally but fail in deployment, including environment, network, and serverless runti…
- [CORS Issues](https://docs.pinecone.io/troubleshooting/cors-issues.md): Troubleshoot Pinecone CORS errors and Access-Control-Allow-Origin issues when calling the API from localhost or browser-based web apps.
- [Debug model vs. Pinecone recall issues](https://docs.pinecone.io/troubleshooting/debug-model-vs-pinecone-recall-issues.md): Troubleshoot “Debug model vs. Pinecone recall issues” in Pinecone: Before starting, establish an evaluation framework for your model an…
- [Unable to pip install](https://docs.pinecone.io/troubleshooting/unable-to-pip-install.md): Resolve install issues for the Pinecone Python SDK: pick the right Python 3.x command, install pinecone or pinecone with gRPC, and upgr…
- [2026 releases](https://docs.pinecone.io/release-notes/2026.md): Pinecone release notes for 2026: new features, improvements, and API changes.
- [2025 releases](https://docs.pinecone.io/release-notes/2025.md): Pinecone release notes for 2025: new features, improvements, and API changes.
- [2024 releases](https://docs.pinecone.io/release-notes/2024.md): Pinecone release notes for 2024: new features, improvements, and API changes.
- [2023 releases](https://docs.pinecone.io/release-notes/2023.md): Pinecone release notes for 2023: new features, improvements, and API changes.
- [2022 releases](https://docs.pinecone.io/release-notes/2022.md): Pinecone release notes for 2022: new features, improvements, and API changes.
- [Feature availability](https://docs.pinecone.io/release-notes/feature-availability.md): Pinecone feature availability across public preview, general availability, and limited availability releases, with links to release not…
- [Pinecone Assistant](https://docs.pinecone.io/guides/assistant/overview.md): Overview of Pinecone Assistant, a managed service for building production-grade RAG chat and agent applications grounded in your data.
- [Pinecone Assistant: SDK quickstart](https://docs.pinecone.io/guides/assistant/quickstart/sdk-quickstart.md): Quickstart for Pinecone Assistant using the Python or Node.js SDK to create an assistant, upload documents, and chat with your data via…
- [Pinecone Assistant: n8n quickstart](https://docs.pinecone.io/guides/assistant/quickstart/n8n-quickstart.md): Build an n8n workflow with Pinecone Assistant and OpenAI to download files via HTTP, upload documents, and chat with them from an autom…
- [Pricing and limits](https://docs.pinecone.io/guides/assistant/pricing-and-limits.md): Understand Pinecone Assistant pricing for ingestion units, chat tokens, and storage, plus plan-based service limits for file uploads an…
- [Create an assistant](https://docs.pinecone.io/guides/assistant/create-assistant.md): Create a Pinecone Assistant with custom instructions, metadata, and region settings using the API, Python SDK, Node.js SDK, or console.
- [Manage assistants](https://docs.pinecone.io/guides/assistant/manage-assistants.md): List, describe, update, and delete Pinecone assistants and check assistant status using the API, Python SDK, Node.js SDK, or Pinecone c…
- [Files in Pinecone Assistant](https://docs.pinecone.io/guides/assistant/files-overview.md): Overview of Pinecone Assistant files: supported file types (PDF, DOCX, JSON, MD, TXT), metadata filters, storage, and signed URL access.
- [Upload files](https://docs.pinecone.io/guides/assistant/upload-files.md): Upload local files to a Pinecone assistant with Python, JavaScript, or curl, track ingestion operations, and see how uploads are billed…
- [Multimodal context for assistants](https://docs.pinecone.io/guides/assistant/multimodal.md): Enable multimodal PDF context in Pinecone Assistant to analyze charts, images, and diagrams using OCR and visual understanding for RAG.
- [Manage files](https://docs.pinecone.io/guides/assistant/manage-files.md): List files in your Pinecone assistant, check individual file ingestion status by ID, view metadata, and delete files using the API, SDK…
- [Chat through the standard interface](https://docs.pinecone.io/guides/assistant/chat-with-assistant.md): Chat with Pinecone Assistant through the standard interface with default, streaming, or JSON responses, plus citations and chat history…
- [Chat through the OpenAI-compatible interface](https://docs.pinecone.io/guides/assistant/chat-through-the-openai-compatible-interface.md): Chat with Pinecone Assistant using the OpenAI-compatible Chat Completion API for inline citations, streaming responses, and easy integr…
- [Evaluation overview](https://docs.pinecone.io/guides/assistant/evaluation-overview.md): Overview of Pinecone Assistant response evaluation: measure correctness, completeness, and alignment scores to benchmark RAG system qua…
- [Evaluate answers](https://docs.pinecone.io/guides/assistant/evaluate-answers.md): Evaluate RAG system answers with Pinecone Assistant using correctness, completeness, and alignment metrics against a ground truth answe…
- [Context snippets overview](https://docs.pinecone.io/guides/assistant/context-snippets-overview.md): Learn how Pinecone Assistant retrieves context snippets with relevancy scores and references for RAG applications and agentic workflows.
- [Retrieve context snippets](https://docs.pinecone.io/guides/assistant/retrieve-context-snippets.md): Retrieve context snippets and citations from a Pinecone Assistant to power your own LLM, RAG application, or agentic workflow with sign…
- [Use an Assistant MCP server](https://docs.pinecone.io/guides/assistant/mcp-server.md): Connect AI agents to a Pinecone Assistant MCP server via remote or local Model Context Protocol endpoints, including Cursor and Claude…
- [Upgrade your plan](https://docs.pinecone.io/guides/assistant/admin/upgrade-billing-plan.md): Learn how Pinecone Assistant admins upgrade to a paid plan to unlock higher limits, more files, evaluations, and advanced access contro…
- [Change your payment method](https://docs.pinecone.io/guides/assistant/admin/change-payment-method.md): Update the credit card or payment method on file for your Pinecone organization to keep billing details current and avoid failed charge…
- [Downgrade your plan](https://docs.pinecone.io/guides/assistant/admin/downgrade-billing-plan.md): Downgrade your Pinecone subscription from a paid tier back to the free Starter plan, including steps to review usage limits before swit…
- [Download a usage report](https://docs.pinecone.io/guides/assistant/admin/download-usage-report.md): Export a detailed Pinecone usage and cost report for your organization to analyze index consumption, credits, and monthly billing charg…
- [Access your invoices](https://docs.pinecone.io/guides/assistant/admin/access-your-invoices.md): View, download, and manage your Pinecone billing invoices from the console, including past invoice history, payment status, and PDF exp…
- [Security overview](https://docs.pinecone.io/guides/assistant/admin/security-overview.md): Overview of Pinecone Assistant admin security features including API keys, single sign-on, service accounts, and audit logs across your…
- [Manage roles and access](https://docs.pinecone.io/guides/assistant/admin/manage-rbac.md): Assign and manage roles for users, service accounts, and API keys using the Pinecone console or the Admin API.
- [Configure SSO with Okta](https://docs.pinecone.io/guides/assistant/admin/configure-sso-with-okta.md): Integrate Okta with Pinecone to enable single sign-on, configure SAML settings, and manage secure user authentication for your organiza…
- [Configure audit logs](https://docs.pinecone.io/guides/assistant/admin/configure-audit-logs.md): Set up Pinecone audit logs streamed to an Amazon S3 bucket to track user, service account, and API actions across the control plane.
- [Organizations overview](https://docs.pinecone.io/guides/assistant/admin/organizations-overview.md): Learn how Pinecone organizations group projects under shared billing, and how organization owners, members, and roles control access an…
- [Monitor usage and cost](https://docs.pinecone.io/guides/assistant/admin/monitor-spend-and-usage.md): Monitor Pinecone Assistant usage and cost, set monthly spend alerts, and track token usage across chat, context retrieval, and evaluati…
- [Manage organization members](https://docs.pinecone.io/guides/assistant/admin/manage-organization-members.md): Invite new members to your Pinecone organization, change their organization roles, and remove users to control access across all projec…
- [Manage service accounts at the organization-level](https://docs.pinecone.io/guides/assistant/admin/manage-organization-service-accounts.md): Create and manage organization-level Pinecone service accounts, retrieve access tokens, and grant programmatic access to the Admin API.
- [Projects overview](https://docs.pinecone.io/guides/assistant/admin/projects-overview.md): Understand how Pinecone projects contain assistants, indexes, and users, and review project owner and project user roles and their perm…
- [Create a project](https://docs.pinecone.io/guides/assistant/admin/create-a-project.md): Create a new Pinecone project in the console or through the Admin API, add tags, and optionally enable a customer-managed encryption ke…
- [Manage projects](https://docs.pinecone.io/guides/assistant/admin/manage-projects.md): View project details, rename projects, add project tags, and delete Pinecone projects using the console or the Admin API with an access…
- [Manage project members](https://docs.pinecone.io/guides/assistant/admin/manage-project-members.md): Add users to a Pinecone project, assign project owner or user roles, edit permissions, and remove members to control access to indexes…
- [Manage API keys](https://docs.pinecone.io/guides/assistant/admin/manage-api-keys.md): Create, view, update, and delete Pinecone API keys for a project, plus assign custom permission roles to control data plane and control…
- [Manage service accounts at the project-level](https://docs.pinecone.io/guides/assistant/admin/manage-project-service-accounts.md): Add and manage project-level service accounts in Pinecone Assistant to enable programmatic Admin API access, roles, and permissions.
- [Assistant API reference](https://docs.pinecone.io/reference/api/assistant/introduction.md): Assistant API reference overview covering document upload, chat, and RAG endpoints supported by the Pinecone Python and Node.js SDKs.
- [Authentication](https://docs.pinecone.io/reference/api/assistant/authentication.md): Assistant API authentication with API keys, HTTP headers, and SDK client initialization for Pinecone Assistant requests and RAG apps.
- [Pinecone Assistant limits](https://docs.pinecone.io/reference/api/assistant/assistant-limits.md): Reference for Pinecone Assistant limits, including file size, storage, chat token, and rate limits across the Starter, Builder, Standar…
- [List assistants](https://docs.pinecone.io/reference/api/2026-04/assistant/list_assistants.md): List of all assistants in a project.
- [Create an assistant](https://docs.pinecone.io/reference/api/2026-04/assistant/create_assistant.md): Create an assistant. This is where you specify the underlying training model, which cloud provider you would like to deploy with, and m…
- [Check assistant status](https://docs.pinecone.io/reference/api/2026-04/assistant/describe_assistant.md): Get the status of an assistant.
- [Update an assistant](https://docs.pinecone.io/reference/api/2026-04/assistant/update_assistant.md): Update an existing assistant. You can modify the assistant's instructions.
- [Delete an assistant](https://docs.pinecone.io/reference/api/2026-04/assistant/delete_assistant.md): Delete an existing assistant.
- [List Files](https://docs.pinecone.io/reference/api/2026-04/assistant/list_files.md): List all files in an assistant, with an option to filter files with metadata.
- [Upload a file](https://docs.pinecone.io/reference/api/2026-04/assistant/upload_file.md): Upload a file to the specified assistant.
- [Upsert a file](https://docs.pinecone.io/reference/api/2026-04/assistant/upsert_file.md): Create or replace a file in the specified assistant. If a file with the given `assistant_file_id` already exists, it will be replaced w…
- [Describe a file](https://docs.pinecone.io/reference/api/2026-04/assistant/describe_file.md): [Get the current status and metadata of a file](https://docs.pinecone.io/guides/assistant/manage-files#get-the-status-of-a-file) upload…
- [Delete a file](https://docs.pinecone.io/reference/api/2026-04/assistant/delete_file.md): [Delete an uploaded file](https://docs.pinecone.io/guides/assistant/manage-files#delete-a-file) from an assistant.
- [List operations](https://docs.pinecone.io/reference/api/2026-04/assistant/list_operations.md): List all operations for an assistant. Returns operations that are in progress, as well as recently completed or failed operations. Both…
- [Describe an operation](https://docs.pinecone.io/reference/api/2026-04/assistant/describe_operation.md): Get the status of an operation.
- [Chat with an assistant](https://docs.pinecone.io/reference/api/2026-04/assistant/chat_assistant.md): Chat with an assistant and get back citations in structured form.
- [Chat through an OpenAI-compatible interface](https://docs.pinecone.io/reference/api/2026-04/assistant/chat_completion_assistant.md): Chat with an assistant. This endpoint is based on the OpenAI Chat Completion API, a commonly used and adopted API.
- [Evaluate an answer](https://docs.pinecone.io/reference/api/2026-04/assistant/metrics_alignment.md): Evaluate the correctness and completeness of a response from an assistant or a RAG system. The correctness and completeness are evaluat…
- [Retrieve context from an assistant](https://docs.pinecone.io/reference/api/2026-04/assistant/context_assistant.md): Retrieve context snippets from an assistant to use as part of RAG or any agentic flow.
- [Create an API key](https://docs.pinecone.io/reference/api/2026-04/admin-assistant/create_api_key.md): Create an API key for a project to authenticate Data Plane and Control Plane requests.
- [List API keys](https://docs.pinecone.io/reference/api/2026-04/admin-assistant/list_api_keys.md): List all API keys in a project.
- [Get API key details](https://docs.pinecone.io/reference/api/2026-04/admin-assistant/fetch_api_key.md): Get an API key's details, excluding its secret.
- [Update an API key](https://docs.pinecone.io/reference/api/2026-04/admin-assistant/update_api_key.md): Update an API key's name and roles.
- [Delete an API key](https://docs.pinecone.io/reference/api/2026-04/admin-assistant/delete_api_key.md): Delete an API key from a project.
- [Create a new project](https://docs.pinecone.io/reference/api/2026-04/admin-assistant/create_project.md): Create a new project.
- [List projects](https://docs.pinecone.io/reference/api/2026-04/admin-assistant/list_projects.md): List all projects in an organization.
- [Get project details](https://docs.pinecone.io/reference/api/2026-04/admin-assistant/fetch_project.md): Get a project's details.
- [Update a project](https://docs.pinecone.io/reference/api/2026-04/admin-assistant/update_project.md): Update a project's name, maximum number of Pods, or customer-managed encryption key (CMEK).
- [Delete a project](https://docs.pinecone.io/reference/api/2026-04/admin-assistant/delete_project.md): Delete a project and all its configuration; delete its indexes, assistants, backups, and collections first.
- [Create an access token](https://docs.pinecone.io/reference/api/2026-04/admin-assistant/get_token.md): Obtain an access token for a service account using the OAuth2 client credentials flow. An access token is needed to authorize requests…
- [Pinecone Assistant architecture](https://docs.pinecone.io/reference/architecture/assistant-architecture.md): Pinecone Assistant architecture overview covering document ingestion, chunking, vector retrieval, and LLM response generation for RAG.
- [Assistant examples](https://docs.pinecone.io/examples/assistant.md): Notebooks and Next.js sample apps for Pinecone Assistant: quickstart, context snippet retrieval, and a full-stack chat UI with citation…
- [2026 releases](https://docs.pinecone.io/assistant-release-notes/2026.md): Pinecone release notes for 2026: new features, improvements, and API changes.
- [2025 releases](https://docs.pinecone.io/assistant-release-notes/2025.md): Pinecone release notes for 2025: new features, improvements, and API changes.
- [2024 releases](https://docs.pinecone.io/assistant-release-notes/2024.md): Pinecone release notes for 2024: new features, improvements, and API changes.
- [2023 releases](https://docs.pinecone.io/assistant-release-notes/2023.md): Pinecone release notes for 2023: new features, improvements, and API changes.
- [2022 releases](https://docs.pinecone.io/assistant-release-notes/2022.md): Pinecone release notes for 2022: new features, improvements, and API changes.
- [Feature availability](https://docs.pinecone.io/assistant-release-notes/feature-availability.md): Pinecone feature availability across public preview, general availability, and limited availability releases, with links to release not…
- [Pinecone Nexus](https://docs.pinecone.io/guides/nexus/overview.md): Pinecone Nexus is the knowledge engine for agents. It compiles your data into queryable knowledge once, then serves grounded, cited ans…
- [Nexus quickstart](https://docs.pinecone.io/guides/nexus/quickstart.md): Deploy Pinecone Nexus with bring-your-own-cloud (BYOC), build a context from your own documents, and run your first query from the depl…
- [Nexus key concepts](https://docs.pinecone.io/guides/nexus/concepts.md): Learn the core Pinecone Nexus concepts: sources, workspaces, contexts, manifests, artifacts, tasks, sessions, and the Query API, and ho…
- [How Nexus works](https://docs.pinecone.io/guides/nexus/how-it-works.md): How Nexus distills curated artifacts for retrieval, then answers with code over a retrieval SDK.
- [Context design](https://docs.pinecone.io/guides/nexus/context-design.md): The manifest, the information stack (chunks, artifacts, and edges), and the artifact-kind reference.
- [Curation](https://docs.pinecone.io/guides/nexus/how-curation-works.md): The write path that turns sources into chunks and artifacts, incrementally, driven by the manifest.
- [Queries](https://docs.pinecone.io/guides/nexus/how-queries-work.md): The query runtime that gathers evidence and composes a grounded, cited answer.
- [Query tracing](https://docs.pinecone.io/guides/nexus/query-tracing.md): Trace any query to see the steps, retrieval code, tokens, and cost behind its answer.
- [MCP server](https://docs.pinecone.io/guides/nexus/mcp-server.md): Query your Pinecone Nexus contexts from any Model Context Protocol client, such as Claude Desktop, over Streamable HTTP.
- [Nexus BYOC overview](https://docs.pinecone.io/guides/nexus/byoc/overview.md): What Nexus bring your own cloud is, how it relates to Database BYOC, and its architecture.
- [Data residency and limits](https://docs.pinecone.io/guides/nexus/byoc/reference.md): Where your data lives and travels in Nexus BYOC, plus authentication, encryption, cluster footprint, and limitations.
- [Deploy Nexus BYOC](https://docs.pinecone.io/guides/nexus/byoc/deploy.md): Install and operate Pinecone Nexus in your own cloud account.
- [Pinecone Nexus API](https://docs.pinecone.io/reference/api/nexus/introduction.md): Programmatic access to Nexus: manage contexts and sources, curate, and query with KnowQL.
- [Authentication](https://docs.pinecone.io/reference/api/nexus/authentication.md): Authenticate to the Nexus API with your Pinecone API key, sent directly or exchanged for a short-lived session token.
- [Exchange a Pinecone API key for a session token](https://docs.pinecone.io/api-reference/auth/exchange-a-pinecone-api-key-for-a-session-token.md)
- [Current identity (whoami)](https://docs.pinecone.io/api-reference/auth/current-identity-whoami.md)
- [Get the active project](https://docs.pinecone.io/api-reference/project/get-the-active-project.md)
- [Project-wide task stats](https://docs.pinecone.io/api-reference/project/project-wide-task-stats.md): Aggregate task counters across the whole project (all contexts), broken down by state and workflow. The per-context equivalent is `GET…
- [List the project's linked connectors](https://docs.pinecone.io/api-reference/connectors/list-the-projects-linked-connectors.md)
- [Get a connector](https://docs.pinecone.io/api-reference/connectors/get-a-connector.md)
- [Unlink a connector](https://docs.pinecone.io/api-reference/connectors/unlink-a-connector.md)
- [Start the OAuth link flow for a provider](https://docs.pinecone.io/api-reference/connectors/start-the-oauth-link-flow-for-a-provider.md): Returns an `authorize_url` for the user to open in a browser. The connector is persisted by the provider's OAuth redirect callback once…
- [Link a connector with an API key](https://docs.pinecone.io/api-reference/connectors/link-a-connector-with-an-api-key.md)
- [Browse a connector's folders/files](https://docs.pinecone.io/api-reference/connectors/browse-a-connectors-foldersfiles.md)
- [List a context's connectors (with per-context enabled flag)](https://docs.pinecone.io/api-reference/connectors/list-a-contexts-connectors-with-per-context-enabled-flag.md)
- [Enable or disable a connector for a context](https://docs.pinecone.io/api-reference/connectors/enable-or-disable-a-connector-for-a-context.md)
- [List contexts (newest first, with stats)](https://docs.pinecone.io/api-reference/contexts/list-contexts-newest-first-with-stats.md)
- [Create a context](https://docs.pinecone.io/api-reference/contexts/create-a-context.md): The context is created empty and is not queryable until you import sources and curate them (curate is explicit — there is no auto-curat…
- [Get a context](https://docs.pinecone.io/api-reference/contexts/get-a-context.md)
- [Update a context](https://docs.pinecone.io/api-reference/contexts/update-a-context.md): All fields optional; absent leaves untouched. Empty string clears description/guide; `{}` clears the manifest back to defaults. A suppl…
- [Delete a context (and its Pinecone indexes)](https://docs.pinecone.io/api-reference/contexts/delete-a-context-and-its-pinecone-indexes.md)
- [Fork a context (copy manifest into a fresh target)](https://docs.pinecone.io/api-reference/contexts/fork-a-context-copy-manifest-into-a-fresh-target.md): Copies the source context's manifest and lifecycle metadata onto an **already-created** target context in the same project, so the targ…
- [Per-context task statistics](https://docs.pinecone.io/api-reference/contexts/per-context-task-statistics.md)
- [Trigger an on-demand self-tuning optimize](https://docs.pinecone.io/api-reference/contexts/trigger-an-on-demand-self-tuning-optimize.md): Tunes the manifest from real query traffic and chains a forced re-curate. A body is required but every field in it is optional, so `{}`…
- [Run the Design-flow explore agent (propose a manifest)](https://docs.pinecone.io/api-reference/contexts/run-the-design-flow-explore-agent-propose-a-manifest.md): Inspects the uploaded source and proposes manifest-template matches, returned in the task's `output` (see `ExploreOutput`). Persists no…
- [Estimate the token + time cost of curating the in-progress manifest](https://docs.pinecone.io/api-reference/contexts/estimate-the-token-+-time-cost-of-curating-the-in-progress-manifest.md): Spins up the `profile` runtime to estimate the token + time cost of curating the sources under the in-progress manifest (sent in the re…
- [Get the context's manifest](https://docs.pinecone.io/api-reference/manifest/get-the-contexts-manifest.md): The context's pinned manifest document. A context with no pinned manifest returns `{}` — the runtime fills defaults. Writes go through…
- [List the built-in manifest templates](https://docs.pinecone.io/api-reference/manifest/list-the-built-in-manifest-templates.md): The catalog the console seeds new contexts from.
- [Get the curation ledger](https://docs.pinecone.io/api-reference/curation/get-the-curation-ledger.md): The full ledger: per-source hashes, edges, corpus groups, chunk-id lineage, version pin, reclaim intents, pointers, and glossary. This…
- [(Re)build the context's index from its sources](https://docs.pinecone.io/api-reference/curation/rebuild-the-contexts-index-from-its-sources.md): Curate the staged sources under the active manifest. **Required before querying** — there is no auto-curate. Body is optional. Set `for…
- [Drop named sources from the index + ledger](https://docs.pinecone.io/api-reference/curation/drop-named-sources-from-the-index-+-ledger.md)
- [Import source documents from a project connector](https://docs.pinecone.io/api-reference/source-files/import-source-documents-from-a-project-connector.md): Pull source documents from a linked project connector (Box, ...) into the context. Supply either `folder` or `files`. Stages the source…
- [Upload a source file or archive](https://docs.pinecone.io/api-reference/source-files/upload-a-source-file-or-archive.md): One file per request, max 2 GiB. Archives (`.zip`, `.tar`, `.tar.gz`, `.tgz`) are expanded by the import runtime. Stages the source onl…
- [List the source file tree (root)](https://docs.pinecone.io/api-reference/source-files/list-the-source-file-tree-root.md)
- [Source file/dir/size counts](https://docs.pinecone.io/api-reference/source-files/source-filedirsize-counts.md): Aggregate counts. Under preview mode the response also carries the per-context quota (`max_files_per_context`, `max_bytes_per_context`,…
- [Flat manifest of source files (path, size, last_modified)](https://docs.pinecone.io/api-reference/source-files/flat-manifest-of-source-files-path-size-last_modified.md): Flat source-object inventory used to render the source page without walking the tree. Excludes the `_inbox/` staging directory.
- [List the source file tree under a path](https://docs.pinecone.io/api-reference/source-files/list-the-source-file-tree-under-a-path.md)
- [Read a source file (raw bytes)](https://docs.pinecone.io/api-reference/source-files/read-a-source-file-raw-bytes.md)
- [Delete a source file](https://docs.pinecone.io/api-reference/source-files/delete-a-source-file.md)
- [List curated knowledge (root)](https://docs.pinecone.io/api-reference/knowledge/list-curated-knowledge-root.md)
- [Knowledge file/dir/size counts](https://docs.pinecone.io/api-reference/knowledge/knowledge-filedirsize-counts.md)
- [List curated knowledge under a path](https://docs.pinecone.io/api-reference/knowledge/list-curated-knowledge-under-a-path.md)
- [Read a curated knowledge file (raw bytes)](https://docs.pinecone.io/api-reference/knowledge/read-a-curated-knowledge-file-raw-bytes.md)
- [Run one KnowQL query turn](https://docs.pinecone.io/api-reference/query/run-one-knowql-query-turn.md): Send `ask` (the natural-language question) and, when starting a new session, a `scope` of 1–10 contexts. Continue an existing session w…
- [Fetch one query (turn)](https://docs.pinecone.io/api-reference/query/fetch-one-query-turn.md)
- [Cancel an in-progress query turn](https://docs.pinecone.io/api-reference/query/cancel-an-in-progress-query-turn.md): Idempotent — an already-terminal query is returned unchanged. On success the turn's `status` becomes `cancelled`.
- [Fetch the recorded trace for a query turn](https://docs.pinecone.io/api-reference/query/fetch-the-recorded-trace-for-a-query-turn.md): The per-turn debug trace (steps, tool calls, strategy, cost, rollup). Trace persistence is unconditional — every turn lands a trace blo…
- [Stream a query turn's events (SSE)](https://docs.pinecone.io/api-reference/query/stream-a-query-turns-events-sse.md): Server-sent event stream of the turn's events as they land — the same `type`-named events POST /query emits with `stream: true`, but as…
- [Record thumbs-up/down feedback on a query turn](https://docs.pinecone.io/api-reference/query/record-thumbs-updown-feedback-on-a-query-turn.md)
- [List the selectable query models](https://docs.pinecone.io/api-reference/query/list-the-selectable-query-models.md): The model catalog the `model` field on `POST /query` draws from. Returns the default model, every catalog entry, the tier → model-id ma…
- [List project-wide query sessions (newest first)](https://docs.pinecone.io/api-reference/query/list-project-wide-query-sessions-newest-first.md)
- [Get a session with its queries (conversation order)](https://docs.pinecone.io/api-reference/query/get-a-session-with-its-queries-conversation-order.md)
- [Delete a session and its queries](https://docs.pinecone.io/api-reference/query/delete-a-session-and-its-queries.md)
- [List tasks (project-wide, paginated)](https://docs.pinecone.io/api-reference/tasks/list-tasks-project-wide-paginated.md)
- [Get a task (with steps)](https://docs.pinecone.io/api-reference/tasks/get-a-task-with-steps.md)
- [Cancel/terminate a task](https://docs.pinecone.io/api-reference/tasks/cancelterminate-a-task.md): Body is optional. Max body 1 MiB.
- [Live token + runtime stats for a task](https://docs.pinecone.io/api-reference/tasks/live-token-+-runtime-stats-for-a-task.md)
- [Read a task file (raw bytes)](https://docs.pinecone.io/api-reference/task-files/read-a-task-file-raw-bytes.md): Serves from the live container while the task runs, and from the archived blob store afterwards. This is how a finished pack's `<slug>.…
- [Stat a task file](https://docs.pinecone.io/api-reference/task-files/stat-a-task-file.md)
- [List a task's files under a path](https://docs.pinecone.io/api-reference/task-files/list-a-tasks-files-under-a-path.md)
- [List a task's working-directory files](https://docs.pinecone.io/api-reference/task-files/list-a-tasks-working-directory-files.md)
- [Delete a task file](https://docs.pinecone.io/api-reference/task-files/delete-a-task-file.md)
- [2026 releases](https://docs.pinecone.io/nexus-release-notes/2026.md): Pinecone Nexus release notes for 2026.
- [Feature availability](https://docs.pinecone.io/nexus-release-notes/feature-availability.md): Feature availability phases for Pinecone Nexus.
- [Pinecone Marketplace](https://docs.pinecone.io/guides/marketplace/overview.md): Pinecone Marketplace is a no-code platform for building, publishing, and operating grounded knowledge applications from vertical templa…
- [Marketplace quickstart](https://docs.pinecone.io/guides/marketplace/quickstart.md): Pinecone Marketplace quickstart: pick a template app, connect a Google Drive folder, configure the deployment, and publish your first k…
- [Marketplace concepts](https://docs.pinecone.io/guides/marketplace/concepts.md): Learn Pinecone Marketplace concepts including knowledge applications, deployments, templates, manifests, KAT routing, layouts, and visu…
- [Marketplace pricing and limits](https://docs.pinecone.io/guides/marketplace/pricing-and-limits.md): How Pinecone Marketplace usage is billed through Assistant and index consumption, plus deployment limits on connectors, files, and cons…
- [Templates overview](https://docs.pinecone.io/guides/marketplace/templates-overview.md): How Pinecone Marketplace templates work, what they define, and how operators customize a deployment after creating it from a template.
- [Template catalog](https://docs.pinecone.io/guides/marketplace/template-catalog.md): Browse the vertical apps in the Pinecone Marketplace template catalog, including Customer Support, HR Benefits, Deal Desk, and Financia…
- [Create a deployment](https://docs.pinecone.io/guides/marketplace/create-a-deployment.md): Create a new Pinecone Marketplace deployment from a vertical template, name it, choose a layout, and configure operating parameters for…
- [Configure operating parameters](https://docs.pinecone.io/guides/marketplace/configure-operating-parameters.md): Tune the system prompt, starter prompts, and response style of a Pinecone Marketplace knowledge application through operating parameter…
- [Configure layouts](https://docs.pinecone.io/guides/marketplace/configure-layouts.md): Choose a chat, search, structured, or hybrid consumer layout for a Pinecone Marketplace knowledge application to match your end-user ex…
- [Configure components](https://docs.pinecone.io/guides/marketplace/configure-components.md): Enable visual components like comparison tables, timelines, and coverage matrices in a Pinecone Marketplace knowledge application inter…
- [Connectors overview](https://docs.pinecone.io/guides/marketplace/connectors-overview.md): How Pinecone Marketplace connectors ingest documents, keep them in sync with source systems, and let operators add manually uploaded fi…
- [Knowledge Agent Toolkit (KAT) overview](https://docs.pinecone.io/guides/marketplace/kat-overview.md): How the Knowledge Agent Toolkit (KAT) orchestrates multi-domain Pinecone Marketplace apps with manifests, disambiguation, slot filling,…
- [Multi-domain routing](https://docs.pinecone.io/guides/marketplace/multi-domain-routing.md): How the Knowledge Agent Toolkit (KAT) routes queries across multiple knowledge bases in a Pinecone Marketplace deployment for multi-dom…
- [Publish a deployment](https://docs.pinecone.io/guides/marketplace/publish-a-deployment.md): Publish a Pinecone Marketplace deployment to promote a building version to active, run introspection, generate starter prompts, and eva…
- [Manage versions and rollback](https://docs.pinecone.io/guides/marketplace/manage-versions-and-rollback.md): Use versioned publishing in Pinecone Marketplace to stage edits, compare active and building versions, and roll back a deployment when…
- [Evaluations](https://docs.pinecone.io/guides/marketplace/evaluations.md): How Pinecone Marketplace runs automatic evaluations on every publish, scoring faithfulness and relevance to catch regressions in a new…
- [Analytics and event logs](https://docs.pinecone.io/guides/marketplace/analytics-and-event-logs.md): Track end-user activity, refusal rates, feedback, and event logs in a Pinecone Marketplace deployment for analytics, auditing, and debu…
- [Deployer authentication](https://docs.pinecone.io/guides/marketplace/deployer-auth.md): Sign in to Pinecone Marketplace as an operator to create deployments, manage sessions across devices, and audit deployer actions in the…
- [Consumer authentication](https://docs.pinecone.io/guides/marketplace/consumer-auth-overview.md): Configure consumer sign-in for a Pinecone Marketplace deployment using link access or Google sign-in to control who can use your knowle…
- [End user guide](https://docs.pinecone.io/guides/marketplace/end-user/overview.md): End-user overview of Pinecone Marketplace knowledge applications, including how to sign in with link access or Google and read grounded…
- [Ask questions](https://docs.pinecone.io/guides/marketplace/end-user/ask-questions.md): Tips for end users on asking clear, specific questions in a Pinecone Marketplace knowledge application, using follow-ups, and handling…
- [Understand answers](https://docs.pinecone.io/guides/marketplace/end-user/citations.md): Read citations, work with visual components, export and share answers, and give feedback in a Pinecone Marketplace knowledge applicatio…
- [Pinecone Marketplace API](https://docs.pinecone.io/reference/api/marketplace/introduction.md): Pinecone Marketplace API reference overview covering deployments, templates, connectors, versions, evaluations, and analytics endpoints.
- [Authentication](https://docs.pinecone.io/reference/api/marketplace/authentication.md): Authenticate to the Pinecone Marketplace API using project-scoped API keys, including the Api-Key header, key scoping, and deployment p…
- [Deployments](https://docs.pinecone.io/reference/api/marketplace/deployments.md): Marketplace Deployments API reference for listing, creating, updating, and deleting knowledge application deployments programmatically.
- [Templates](https://docs.pinecone.io/reference/api/marketplace/templates.md): Marketplace Templates API reference for listing vertical template catalogs and retrieving default operating parameters for deployments.
- [Connectors](https://docs.pinecone.io/reference/api/marketplace/connectors.md): Marketplace Connectors API reference for attaching source connectors, updating configuration, and triggering syncs across deployments.
- [Versions and publishing](https://docs.pinecone.io/reference/api/marketplace/versions.md): Marketplace Versions API reference for publishing building versions, listing version history, and rolling back deployments programmatic…
- [Evaluations](https://docs.pinecone.io/reference/api/marketplace/evaluations.md): Marketplace Evaluations API reference for triggering evaluation runs, retrieving scores, and inspecting per-question detail per version.
- [Events and analytics](https://docs.pinecone.io/reference/api/marketplace/events.md): Marketplace Events and Analytics API reference for streaming deployment event logs and reading conversation and feedback counters.

## OpenAPI Specs

- [nexus_2026-07.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2026-07/nexus_2026-07.oas.yaml)
- [inference_2026-04.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2026-04/inference_2026-04.oas.yaml)
- [db_data_2026-04.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2026-04/db_data_2026-04.oas.yaml)
- [db_control_2026-04.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2026-04/db_control_2026-04.oas.yaml)
- [oauth_2026-04.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2026-04/oauth_2026-04.oas.yaml)
- [assistant_data_2026-04.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2026-04/assistant_data_2026-04.oas.yaml)
- [assistant_control_2026-04.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2026-04/assistant_control_2026-04.oas.yaml)
- [admin_2026-04.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2026-04/admin_2026-04.oas.yaml)
- [db_data_2026-01.alpha.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2026-01.alpha/db_data_2026-01.alpha.oas.yaml)
- [db_control_2026-01.alpha.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2026-01.alpha/db_control_2026-01.alpha.oas.yaml)
- [assistant_evaluation_2026-04.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2026-04/assistant_evaluation_2026-04.oas.yaml)
- [db_data_2025-04.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2025-04/db_data_2025-04.oas.yaml)
- [db_data_2025-10.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2025-10/db_data_2025-10.oas.yaml)
- [db_control_2025-10.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2025-10/db_control_2025-10.oas.yaml)
- [assistant_data_2025-10.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2025-10/assistant_data_2025-10.oas.yaml)
- [assistant_control_2025-10.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2025-10/assistant_control_2025-10.oas.yaml)
- [db_data_2025-01.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2025-01/db_data_2025-01.oas.yaml)
- [data_2024-04.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2024-04/data_2024-04.oas.yaml)
- [data_2024-07.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2024-07/data_2024-07.oas.yaml)
- [db_data_2024-10.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2024-10/db_data_2024-10.oas.yaml)
- [inference_2025-10.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2025-10/inference_2025-10.oas.yaml)
- [assistant_evaluation_2025-10.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2025-10/assistant_evaluation_2025-10.oas.yaml)
- [oauth_2025-10.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2025-10/oauth_2025-10.oas.yaml)
- [admin_2025-10.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2025-10/admin_2025-10.oas.yaml)
- [admin_2025-04.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2025-04/admin_2025-04.oas.yaml)
- [assistant_data_2025-01.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2025-01/assistant_data_2025-01.oas.yaml)
- [assistant_data_2025-04.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2025-04/assistant_data_2025-04.oas.yaml)
- [db_control_2025-04.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2025-04/db_control_2025-04.oas.yaml)
- [control_2024-04.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2024-04/control_2024-04.oas.yaml)
- [control_2024-07.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2024-07/control_2024-07.oas.yaml)
- [inference_2024-10.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2024-10/inference_2024-10.oas.yaml)
- [db_control_2024-10.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2024-10/db_control_2024-10.oas.yaml)
- [inference_2025-01.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2025-01/inference_2025-01.oas.yaml)
- [db_control_2025-01.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2025-01/db_control_2025-01.oas.yaml)
- [assistant_evaluation_2025-01.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2025-01/assistant_evaluation_2025-01.oas.yaml)
- [assistant_control_2025-01.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2025-01/assistant_control_2025-01.oas.yaml)
- [inference_2025-04.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2025-04/inference_2025-04.oas.yaml)
- [assistant_evaluation_2025-04.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2025-04/assistant_evaluation_2025-04.oas.yaml)
- [assistant_control_2025-04.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2025-04/assistant_control_2025-04.oas.yaml)
- [oauth_2025-04.oas](https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2025-04/oauth_2025-04.oas.yaml)
- [pinecone](https://docs.pinecone.io/pinecone.json)
- [data_plane_api](https://docs.pinecone.io/data_plane_api.json)
- [control_plane_api](https://docs.pinecone.io/control_plane_api.json)