langchain

LangChain is a framework for developing applications powered by large language models (LLMs). LangChain simplifies every stage of the LLM application lifecycle: 1.Development: Build your applications using LangChain’s open-source building blocks and components. Hit the ground running using third-party integrations and Templates. 2.Productionization: Use LangSmith to inspect, monitor and evaluate your chains, so that you can continuously optimize and deploy with confidence. 3.Deployment: Turn any chain into an API with LangServe.

Concretely, the framework consists of the following open-source libraries: 1.langchain-core: Base abstractions and LangChain Expression Language. 2.langchain-community: Third party integrations. 3.Partner packages (e.g. langchain-openai, langchain-anthropic, etc.): Some integrations have been further split into their own lightweight packages that only depend on langchain-core. 4.langchain: Chains, agents, and retrieval strategies that make up an application’s cognitive architecture. 5.langgraph: Build robust and stateful multi-actor applications with LLMs by modeling steps as edges and nodes in a graph. 6.langserve: Deploy LangChain chains as REST APIs. 7.LangSmith: A developer platform that lets you debug, test, evaluate, and monitor LLM applications.