david-zlj/rag-guide
RAG 开发者的一站式手册。以 FastAPI + LangChain 为核心技术栈，助力学习者快速掌握从 0 到 1 搭建 RAG 应用的能力，轻松落地企业知识库等实际项目。
This guide helps developers learn how to build Retrieval-Augmented Generation (RAG) applications from scratch. It takes various data formats like PDFs, Word documents, and text files as input, processes them, and uses large language models to generate accurate answers or insights. Software engineers, AI/ML newcomers, and technical managers can use this to create applications like smart chatbots, enterprise knowledge bases, or academic research tools.
Use this if you are a developer looking for a comprehensive, practical guide to build and deploy RAG applications, covering everything from core concepts to production-level projects.
Not ideal if you are looking for a plug-and-play RAG solution without needing to understand the underlying development process.
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Python
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MIT
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Last pushed
Feb 24, 2026
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