Framework for building LLM applications with chains, agents, and integrations to data sources and APIs.
LangChain is a comprehensive framework for developing applications powered by language models. It provides developers with tools to build context-aware reasoning applications that can connect to various data sources and take action.
The framework includes components for prompt management, chains of calls to language models, data augmented generation, and autonomous agents. LangChain makes it easy to switch between different language model providers and integrate with vector stores, databases, and APIs.
LangChain’s agent capabilities allow models to interact with their environment, make decisions, and execute complex workflows. The framework supports both simple chains for straightforward tasks and sophisticated agents for multi-step reasoning.
With extensive documentation and a large community, LangChain has become the standard toolkit for building production LLM applications. It supports Python and JavaScript/TypeScript, making it accessible to a wide range of developers.
