About LangChain
An open-source framework and SDK for building LLM applications and agentic workflows that connect language models to tools, data sources, and vector stores. It provides composable primitives for chains, agents, retrievers, and integrations across model and data providers.
Key Features
- Composable chains and agent primitives for orchestration of prompts, tools, and model calls
- Integrations with many model providers, vector stores, and data connectors for RAG workflows
- Utilities for memory, tool-calling, and prompts to enable agent behavior
- SDKs and docs for Python and JavaScript to accelerate development
Use Cases & Best For
Developers building retrieval-augmented generation (RAG) apps and chatbots
Teams needing flexible integrations across models, tools, and vector stores
About Agent Frameworks
Build autonomous AI agents and workflows