## Embedding models

[

## 📄️ AI21 Labs

This notebook covers how to get started with AI21 embedding models.

](https://python.langchain.com/docs/integrations/text_embedding/ai21/)

[

## 📄️ Aleph Alpha

There are two possible ways to use Aleph Alpha’s semantic embeddings. If

](https://python.langchain.com/docs/integrations/text_embedding/aleph_alpha/)

[

## 📄️ Anyscale

Let’s load the Anyscale Embedding class.

](https://python.langchain.com/docs/integrations/text_embedding/anyscale/)

[

## 📄️ AwaDB

AwaDB is an AI Native database for

](https://python.langchain.com/docs/integrations/text_embedding/awadb/)

[

## 📄️ Azure OpenAI

Let’s load the Azure OpenAI Embedding class with environment variables

](https://python.langchain.com/docs/integrations/text_embedding/azureopenai/)

[

## 📄️ Baichuan Text Embeddings

As of today (Jan 25th, 2024) BaichuanTextEmbeddings ranks #1 in C-MTEB

](https://python.langchain.com/docs/integrations/text_embedding/baichuan/)

[

## 📄️ Baidu Qianfan

Baidu AI Cloud Qianfan Platform is a one-stop large model development

](https://python.langchain.com/docs/integrations/text_embedding/baidu_qianfan_endpoint/)

[

## 📄️ Bedrock

Amazon Bedrock is a fully managed

](https://python.langchain.com/docs/integrations/text_embedding/bedrock/)

[

## 📄️ BGE on Hugging Face

\[BGE models on the

](https://python.langchain.com/docs/integrations/text_embedding/bge_huggingface/)

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## 📄️ Bookend AI

Let’s load the Bookend AI Embeddings class.

](https://python.langchain.com/docs/integrations/text_embedding/bookend/)

[

## 📄️ Clarifai

Clarifai is an AI Platform that provides

](https://python.langchain.com/docs/integrations/text_embedding/clarifai/)

[

## 📄️ Cloudflare Workers AI

\[Cloudflare,

](https://python.langchain.com/docs/integrations/text_embedding/cloudflare_workersai/)

[

## 📄️ Cohere

Let’s load the Cohere Embedding class.

](https://python.langchain.com/docs/integrations/text_embedding/cohere/)

[

## 📄️ DashScope

Let’s load the DashScope Embedding class.

](https://python.langchain.com/docs/integrations/text_embedding/dashscope/)

[

## 📄️ DeepInfra

DeepInfra is a serverless

](https://python.langchain.com/docs/integrations/text_embedding/deepinfra/)

[

## 📄️ EDEN AI

Eden AI is revolutionizing the AI landscape by uniting the best AI

](https://python.langchain.com/docs/integrations/text_embedding/edenai/)

[

## 📄️ Elasticsearch

Walkthrough of how to generate embeddings using a hosted embedding model

](https://python.langchain.com/docs/integrations/text_embedding/elasticsearch/)

[

## 📄️ Embaas

embaas is a fully managed NLP API service that

](https://python.langchain.com/docs/integrations/text_embedding/embaas/)

[

## 📄️ ERNIE

\[ERNIE

](https://python.langchain.com/docs/integrations/text_embedding/ernie/)

[

## 📄️ Fake Embeddings

LangChain also provides a fake embedding class. You can use this to test

](https://python.langchain.com/docs/integrations/text_embedding/fake/)

[

## 📄️ FastEmbed by Qdrant

FastEmbed from

](https://python.langchain.com/docs/integrations/text_embedding/fastembed/)

[

## 📄️ FireworksEmbeddings

This notebook explains how to use Fireworks Embeddings, which is

](https://python.langchain.com/docs/integrations/text_embedding/fireworks/)

[

## 📄️ GigaChat

This notebook shows how to use LangChain with \[GigaChat

](https://python.langchain.com/docs/integrations/text_embedding/gigachat/)

[

## 📄️ Google Generative AI Embeddings

Connect to Google’s generative AI embeddings service using the

](https://python.langchain.com/docs/integrations/text_embedding/google_generative_ai/)

[

## 📄️ Google Vertex AI PaLM

\[Vertex AI PaLM

](https://python.langchain.com/docs/integrations/text_embedding/google_vertex_ai_palm/)

[

## 📄️ GPT4All

GPT4All is a free-to-use, locally

](https://python.langchain.com/docs/integrations/text_embedding/gpt4all/)

[

## 📄️ Gradient

Gradient allows to create Embeddings as well fine tune and get

](https://python.langchain.com/docs/integrations/text_embedding/gradient/)

[

## 📄️ Hugging Face

Let’s load the Hugging Face Embedding class.

](https://python.langchain.com/docs/integrations/text_embedding/huggingfacehub/)

[

## 📄️ IBM watsonx.ai

WatsonxEmbeddings is a wrapper for IBM

](https://python.langchain.com/docs/integrations/text_embedding/ibm_watsonx/)

[

## 📄️ Infinity

Infinity allows to create Embeddings using a MIT-licensed Embedding

](https://python.langchain.com/docs/integrations/text_embedding/infinity/)

[

## 📄️ Instruct Embeddings on Hugging Face

\[Hugging Face

](https://python.langchain.com/docs/integrations/text_embedding/instruct_embeddings/)

[

## 📄️ Intel® Extension for Transformers Quantized Text Embeddings

Load quantized BGE embedding models generated by \[Intel® Extension for

](https://python.langchain.com/docs/integrations/text_embedding/itrex/)

[

## 📄️ Jina

Let’s load the Jina Embedding class.

](https://python.langchain.com/docs/integrations/text_embedding/jina/)

[

## 📄️ John Snow Labs

John Snow Labs NLP & LLM ecosystem

](https://python.langchain.com/docs/integrations/text_embedding/johnsnowlabs_embedding/)

[

## 📄️ LASER Language-Agnostic SEntence Representations Embeddings by Meta AI

LASER is a Python

](https://python.langchain.com/docs/integrations/text_embedding/laser/)

[

## 📄️ Llama-cpp

This notebook goes over how to use Llama-cpp embeddings within LangChain

](https://python.langchain.com/docs/integrations/text_embedding/llamacpp/)

[

## 📄️ llamafile

Let’s load the llamafile

](https://python.langchain.com/docs/integrations/text_embedding/llamafile/)

[

## 📄️ LLMRails

Let’s load the LLMRails Embeddings class.

](https://python.langchain.com/docs/integrations/text_embedding/llm_rails/)

[

## 📄️ LocalAI

Let’s load the LocalAI Embedding class. In order to use the LocalAI

](https://python.langchain.com/docs/integrations/text_embedding/localai/)

[

## 📄️ MiniMax

MiniMax

](https://python.langchain.com/docs/integrations/text_embedding/minimax/)

[

## 📄️ MistralAI

This notebook explains how to use MistralAIEmbeddings, which is included

](https://python.langchain.com/docs/integrations/text_embedding/mistralai/)

[

## 📄️ ModelScope

ModelScope is big repository of the

](https://python.langchain.com/docs/integrations/text_embedding/modelscope_hub/)

[

## 📄️ MosaicML

MosaicML offers

](https://python.langchain.com/docs/integrations/text_embedding/mosaicml/)

[

## 📄️ NVIDIA NeMo embeddings

Connect to NVIDIA’s embedding service using the NeMoEmbeddings class.

](https://python.langchain.com/docs/integrations/text_embedding/nemo/)

[

## 📄️ NLP Cloud

NLP Cloud is an artificial

](https://python.langchain.com/docs/integrations/text_embedding/nlp_cloud/)

[

## 📄️ Nomic

This notebook covers how to get started with Nomic embedding models.

](https://python.langchain.com/docs/integrations/text_embedding/nomic/)

[

## 📄️ NVIDIA AI Foundation Endpoints

\[NVIDIA AI Foundation

](https://python.langchain.com/docs/integrations/text_embedding/nvidia_ai_endpoints/)

[

## 📄️ Oracle Cloud Infrastructure Generative AI

Oracle Cloud Infrastructure (OCI) Generative AI is a fully managed

](https://python.langchain.com/docs/integrations/text_embedding/oci_generative_ai/)

[

## 📄️ Ollama

Let’s load the Ollama Embeddings class.

](https://python.langchain.com/docs/integrations/text_embedding/ollama/)

[

## 📄️ OpenClip

OpenClip is an

](https://python.langchain.com/docs/integrations/text_embedding/open_clip/)

[

## 📄️ OpenAI

Let’s load the OpenAI Embedding class.

](https://python.langchain.com/docs/integrations/text_embedding/openai/)

[

## 📄️ OpenVINO

OpenVINO™ is an

](https://python.langchain.com/docs/integrations/text_embedding/openvino/)

[

## 📄️ Embedding Documents using Optimized and Quantized Embedders

Embedding all documents using Quantized Embedders.

](https://python.langchain.com/docs/integrations/text_embedding/optimum_intel/)

[

## 📄️ PremAI

PremAI is an unified platform that let’s you

](https://python.langchain.com/docs/integrations/text_embedding/premai/)

[

## 📄️ SageMaker

Let’s load the SageMaker Endpoints Embeddings class. The class can be

](https://python.langchain.com/docs/integrations/text_embedding/sagemaker-endpoint/)

[

## 📄️ Self Hosted

Let’s load the SelfHostedEmbeddings,

](https://python.langchain.com/docs/integrations/text_embedding/self-hosted/)

[

## 📄️ Sentence Transformers on Hugging Face

\[Hugging Face

](https://python.langchain.com/docs/integrations/text_embedding/sentence_transformers/)

[

## 📄️ SpaCy

spaCy is an open-source software library for

](https://python.langchain.com/docs/integrations/text_embedding/spacy_embedding/)

[

## 📄️ SparkLLM Text Embeddings

Official Website//www.xfyun.cn/doc/spark/Embeddingnewapi.html

](https://python.langchain.com/docs/integrations/text_embedding/sparkllm/)

[

## 📄️ TensorFlow Hub

TensorFlow Hub is a repository of

](https://python.langchain.com/docs/integrations/text_embedding/tensorflowhub/)

[

## 📄️ Text Embeddings Inference

\[Hugging Face Text Embeddings Inference

](https://python.langchain.com/docs/integrations/text_embedding/text_embeddings_inference/)

[

## 📄️ Titan Takeoff

TitanML helps businesses build and deploy better, smaller, cheaper,

](https://python.langchain.com/docs/integrations/text_embedding/titan_takeoff/)

[

## 📄️ Together AI

This notebook covers how to get started with open source embedding

](https://python.langchain.com/docs/integrations/text_embedding/together/)

[

## 📄️ Upstage

This notebook covers how to get started with Upstage embedding models.

](https://python.langchain.com/docs/integrations/text_embedding/upstage/)

[

## 📄️ Volc Engine

This notebook provides you with a guide on how to load the Volcano

](https://python.langchain.com/docs/integrations/text_embedding/volcengine/)

[

## 📄️ Voyage AI

Voyage AI provides cutting-edge

](https://python.langchain.com/docs/integrations/text_embedding/voyageai/)

[

## 📄️ Xorbits inference (Xinference)

This notebook goes over how to use Xinference embeddings within

](https://python.langchain.com/docs/integrations/text_embedding/xinference/)

[

## 📄️ YandexGPT

This notebook goes over how to use Langchain with

](https://python.langchain.com/docs/integrations/text_embedding/yandex/)