> ## Documentation Index > Fetch the complete documentation index at: https://docs.langchain.com/llms.txt > Use this file to discover all available pages before exploring further. # All LangChain JavaScript integration providers Browse the complete collection of integrations available for JavaScript/TypeScript. LangChain.js offers hundreds of integrations across providers, tools, vector stores, document loaders, and more. ## Top providers Integrate with Anthropic's Claude models for advanced reasoning and conversation. Access AWS services and foundation models through comprehensive integrations. Integrate with Google's AI services including Gemini and Vertex AI. Connect to Microsoft Azure services and AI platforms. Build with GPT models and OpenAI's comprehensive AI platform. ## LangGraph integrations Connect LangGraph agents to front ends. Open event-based protocol for connecting LangGraph agents to any frontend. React stack and Python middleware for Deep Agents, LangGraph agents, FastAPI, and generative UI. ## Chat models Claude models for advanced conversational AI and reasoning. OpenAI models through Microsoft Azure's enterprise platform. Baidu's Qianfan platform for Chinese language AI models. Unified Bedrock Converse API for multiple foundation models. Ultra-fast inference with Cerebras Systems' AI processors. Run AI models on Cloudflare's edge computing platform. Cohere's language models for text generation and understanding. DeepSeek's advanced reasoning and coding models. Mock chat model for testing and development purposes. Google's Gemini models via AI Studio and Vertex AI. Ultra-fast inference with Groq's specialized hardware. Mistral's efficient and powerful language models. Decentralized AI network through Bittensor protocol. Run local models with Ollama's lightweight inference engine. Access models from multiple providers through OpenRouter's unified API. GPT models and OpenAI's comprehensive chat capabilities. OpenAI integration with PromptLayer's observability features. xAI's Grok models for conversational AI. Yandex's AI models and language processing services. ## LLMs OpenAI models through Microsoft Azure's enterprise platform. AI models on Cloudflare's edge computing platform. Cohere's language models for various NLP tasks. Google Cloud's enterprise AI and ML platform. JigsawStack's AI infrastructure and model services. Mistral's open-source and commercial language models. Decentralized AI through Bittensor's peer-to-peer network. Local model serving with Ollama's simple interface. GPT models and OpenAI's language model APIs. OpenAI with PromptLayer's logging and observability. Yandex's language models and AI services. ## Text embedding models OpenAI embeddings through Microsoft Azure platform. Baidu's text embedding models for Chinese content. Foundation model embeddings through Amazon Bedrock. Text embeddings on Cloudflare's edge AI platform. Cohere's multilingual embedding models. Google's embedding models for text representation. Enterprise embedding models through Vertex AI. Minimax's text embedding and representation models. Mistral's efficient embedding models. High-quality multilingual embedding models. Nomic's open-source embedding models. Local embedding models through Ollama. OpenAI's text-embedding models for semantic search. Oracle's embedding models for AI applications. Pinecone's embedding models and vector database. ## Vector stores Vector search in Azure DocumentDB (formerly Azure Cosmos DB for MongoDB vCore). Vector storage in Azure Cosmos DB NoSQL API. Serverless vector database on Cloudflare's edge. PostgreSQL with vector extensions on Google Cloud. In-memory vector storage for development and testing. Open-source vector database for AI applications. Vector search in MongoDB Atlas cloud database. Oracle Vector Search for hybrid retrieval and storage. Managed vector database for machine learning applications. Open-source vector similarity search engine. In-memory database with vector search capabilities. Developer-focused database with vector search. Open-source vector database with GraphQL API. ## Document loaders ### File loaders Load and parse JSON files with flexible structure handling. Load newline-delimited JSON files. Load multiple files of different types simultaneously. Load Oracle AI Vector Search tables and compatible files. Load plain text files with encoding detection. ### Web loaders Load data from Google Cloud SQL PostgreSQL databases. Load runs and datasets from LangSmith. High-accuracy multilingual speech-to-text API. Retrieve from published Sourcey docs sites using build artefacts Sourcey already emits. Load transcripts and metadata from YouTube, TikTok, and more. ## Document transformers Generate metadata tags for documents using OpenAI. ## Document compressors Rerank documents using Cohere's reranking models. Rerank and compress documents using MixedBread AI. ## Tools Secure code execution in Azure Dynamic Sessions. Generate images using OpenAI's DALL-E models. Code execution and analysis with Decodo. AI-powered search engine for better results. Simple tool execution framework. AI infrastructure tools from JigsawStack. Parse and manipulate JSON data structures. Execute code in AWS Lambda functions. Model Context Protocol tools and utilities. Generate tools from OpenAPI specifications. Summarize, chunk, and serve data with Oracle AI Vector Search tools. Query databases using natural language. Web search results from the Perplexity Search API. Web crawling capabilities with Tavily. Extract structured data from web pages. Map and visualize web crawling results. AI-optimized search for retrieval applications. Real-time web search and content extraction for LLMs. Query vector databases as tools. Automate workflows using Zapier integrations. ## Retrievers Retrieve from Amazon Bedrock Knowledge Bases. Official ChatGPT retriever plugin integration. AI-powered web search and retrieval. Hypothetical Document Embeddings for better retrieval. Enterprise search with Amazon Kendra. Retriever returning Documents from the Perplexity Search API. Time-aware document retrieval and ranking. ## Stores Local file system storage for development. Fast in-memory storage for temporary data. ## LLM caching Cache LLM responses in Azure Cosmos DB. ## Callbacks ***

[Connect these docs](/use-these-docs) to Claude, VSCode, and more via MCP for real-time answers. [Edit this page on GitHub](https://github.com/langchain-ai/docs/edit/main/src/oss/javascript/integrations/providers/all_providers.mdx) or [file an issue](https://github.com/langchain-ai/docs/issues/new/choose).