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*   Astra DB

On this page

Astra DB
========

Compatibility

Only available on Node.js.

DataStax [Astra DB](https://astra.datastax.com/register) is a serverless vector-capable database built on [Apache Cassandra](https://cassandra.apache.org/_/index.html) and made conveniently available through an easy-to-use JSON API.

Setup[​](#setup "Direct link to Setup")
---------------------------------------

1.  Create an [Astra DB account](https://astra.datastax.com/register).
2.  Create a [vector enabled database](https://astra.datastax.com/createDatabase).
3.  Grab your `API Endpoint` and `Token` from the Database Details.
4.  Set up the following env vars:

    export ASTRA_DB_APPLICATION_TOKEN=YOUR_ASTRA_DB_APPLICATION_TOKEN_HEREexport ASTRA_DB_ENDPOINT=YOUR_ASTRA_DB_ENDPOINT_HEREexport ASTRA_DB_COLLECTION=YOUR_ASTRA_DB_COLLECTION_HEREexport OPENAI_API_KEY=YOUR_OPENAI_API_KEY_HERE

Where `ASTRA_DB_COLLECTION` is the desired name of your collection

6.  Install the Astra TS Client & the LangChain community package

tip

See [this section for general instructions on installing integration packages](/v0.2/docs/how_to/installation#installing-integration-packages).

*   npm
*   Yarn
*   pnpm

    npm install @langchain/openai @datastax/astra-db-ts @langchain/community

    yarn add @langchain/openai @datastax/astra-db-ts @langchain/community

    pnpm add @langchain/openai @datastax/astra-db-ts @langchain/community

Indexing docs[​](#indexing-docs "Direct link to Indexing docs")
---------------------------------------------------------------

    import { OpenAIEmbeddings } from "@langchain/openai";import {  AstraDBVectorStore,  AstraLibArgs,} from "@langchain/community/vectorstores/astradb";const astraConfig: AstraLibArgs = {  token: process.env.ASTRA_DB_APPLICATION_TOKEN as string,  endpoint: process.env.ASTRA_DB_ENDPOINT as string,  collection: process.env.ASTRA_DB_COLLECTION ?? "langchain_test",  collectionOptions: {    vector: {      dimension: 1536,      metric: "cosine",    },  },};const vectorStore = await AstraDBVectorStore.fromTexts(  [    "AstraDB is built on Apache Cassandra",    "AstraDB is a NoSQL DB",    "AstraDB supports vector search",  ],  [{ foo: "foo" }, { foo: "bar" }, { foo: "baz" }],  new OpenAIEmbeddings(),  astraConfig);// Querying docs:const results = await vectorStore.similaritySearch("Cassandra", 1);// or filtered query:const filteredQueryResults = await vectorStore.similaritySearch("A", 1, {  foo: "bar",});

#### API Reference:

*   [OpenAIEmbeddings](https://v02.api.js.langchain.com/classes/langchain_openai.OpenAIEmbeddings.html) from `@langchain/openai`
*   [AstraDBVectorStore](https://v02.api.js.langchain.com/classes/langchain_community_vectorstores_astradb.AstraDBVectorStore.html) from `@langchain/community/vectorstores/astradb`
*   [AstraLibArgs](https://v02.api.js.langchain.com/interfaces/langchain_community_vectorstores_astradb.AstraLibArgs.html) from `@langchain/community/vectorstores/astradb`

Vector Types[​](#vector-types "Direct link to Vector Types")
------------------------------------------------------------

Astra DB supports `cosine` (the default), `dot_product`, and `euclidean` similarity search; this is defined when the vector store is first created as part of the `CreateCollectionOptions`:

      vector: {      dimension: number;      metric?: "cosine" | "euclidean" | "dot_product";  };

* * *

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*   [Setup](#setup)
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