SoupCola/RAG_Project
本项目是一个完整的RAG系统教程，涵盖了从基础概念到高级技术的全面内容。通过Jupyter Notebook的形式，逐步讲解如何构建和优化一个高效的检索增强生成系统。本项目使用的所有模型都是本地化部署的，在3090上可以运行。
This project helps anyone who needs to build a smart question-answering system using their own documents. It takes your PDF documents or other text, processes them, and allows a language model to answer questions accurately by referring to your specific information. This is for professionals like researchers, data analysts, or knowledge managers who want to leverage large language models without worrying about outdated information.
Use this if you need to build a robust, custom question-answering system that uses your private or specific domain knowledge to provide accurate and contextually relevant answers.
Not ideal if you are looking for a pre-built, plug-and-play solution that doesn't require any technical setup or customization.
Stars
15
Forks
4
Language
Jupyter Notebook
License
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Category
Last pushed
Nov 25, 2025
Commits (30d)
0
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