LangChain Python

This open-source framework provides tools for building applications powered by large language models. It offers abstractions for model interaction supporting dozens of providers including OpenAI, Anthropic, and Google, enabling developers to switch models with minimal code changes. The prompt management includes template engines, few-shot selectors, output parsers, and debugging tools. The retrieval components build document pipelines with loaders, text splitters, embedding models, and vector store integrations with Pinecone, Chroma, Weaviate, and FAISS for semantic search and RAG systems. The agent framework enables building autonomous AI agents that call external tools, search the web, execute code, and interact with databases through standardized interfaces with planning and memory support. Designed for software developers, AI engineers, data scientists, and startups building LLM applications.