LangChain
LangChain is an open-source framework for building applications powered by large language models (LLMs), enabling developers to connect AI models with external data sources, tools, APIs, and workflows.
What is LangChain?
LangChain provides components for developing AI applications that go beyond simple text generation. It helps developers build workflows that combine language models with capabilities such as prompt management, Retrieval-Augmented Generation (RAG), memory, tool calling, document processing, and agent orchestration. It supports integration with multiple LLM providers, vector databases, and enterprise systems.
Why is LangChain Important?
Many enterprise AI applications require language models to interact with external knowledge, business systems, and APIs. LangChain simplifies the development of these applications by providing reusable building blocks for creating more capable, context-aware, and interactive AI solutions. It also supports rapid prototyping and deployment of complex LLM workflows.
Common use cases
LangChain is commonly used for AI agents, Retrieval-Augmented Generation (RAG), enterprise search, chatbots, document question answering, workflow automation, and tool-enabled LLM applications.