LangChain可以连接不同的语言模型提供商，如OpenAI、Azure OpenAI、HuggingFace等，为用户提供灵活的选择。

项目开源，访问地址如下： https://github.com/langchain-ai/langchain

What is LangChain?

LangChain is a framework for developing applications powered by language models. It enables applications that:

• Are context-aware: connect a language model to sources of context (prompt instructions, few shot examples, content to ground its response in, etc.)
• Reason: rely on a language model to reason (about how to answer based on provided context, what actions to take, etc.)

This framework consists of several parts.

• LangChain Libraries: The Python and JavaScript libraries. Contains interfaces and integrations for a myriad of components, a basic run time for combining these components into chains and agents, and off-the-shelf implementations of chains and agents.
• LangChain Templates: A collection of easily deployable reference architectures for a wide variety of tasks.
• LangServe: A library for deploying LangChain chains as a REST API.
• LangSmith: A developer platform that lets you debug, test, evaluate, and monitor chains built on any LLM framework and seamlessly integrates with LangChain.

The LangChain libraries themselves are made up of several different packages.

• langchain-core: Base abstractions and LangChain Expression Language.
• langchain-community: Third party integrations.

• langchain: Chains, agents, and retrieval strategies that make up an application's cognitive architecture.

What can you build with LangChain?

❓ Retrieval augmented generation

• Documentation
• End-to-end Example: Chat LangChain and repo

💬 Analyzing structured data

• Documentation
• End-to-end Example: SQL Llama2 Template

🤖 Chatbots

• Documentation
• End-to-end Example: Web LangChain (web researcher chatbot) and repo