
LangChain
描述
Popular framework for building LLM applications with rich RAG components
详细介绍
LangChain is a framework for developing applications powered by language models. It provides a set of tools, components, and interfaces that make it easier for developers to combine large language models (LLMs) with external data sources and computational resources.
The core philosophy of LangChain is to link language models with other computational or knowledge sources to build more powerful and reliable applications. It provides a series of composable components that can be used individually or as building blocks for more complex applications.
In the RAG (Retrieval-Augmented Generation) domain, LangChain provides comprehensive support, including document loading, text splitting, vector store integration, retriever implementations, and various prompt templates and chain structures. This enables developers to quickly build and deploy RAG applications without having to implement all components from scratch.
相关资源
查看更多Data framework for connecting custom data sources with large language models
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