[{"data":1,"prerenderedAt":12},["ShallowReactive",2],{"stack-tr-en-langchain":3},{"tagline":4,"description":5,"strengths":6,"useCase":11},"The reference open source framework for building LLM applications.","LangChain is an open source framework (Python, JS\u002FTS) for building LLM applications: prompt chains, tool calling, RAG components and integrations with model providers and vector stores. Its shared abstractions let you swap models or vector stores without rewriting business logic. It's our choice when an AI application needs to orchestrate LLMs, data and tools without locking into a single provider.",[7,8,9,10],"Unified abstractions: swap LLMs or vector stores without rewriting the app.","Tool calling and structured outputs for agents and extraction.","Ready-made RAG components: loaders, splitters, retrievers, embeddings.","Python and JS\u002FTS, with LangSmith for tracing and evaluation in production.","RAG assistants, structured extraction, tool-using agents, fast AI app prototyping.",1792675978973]