huangjia2019/rag-project01-framework
[RAG训练营] u.geekbang.org/subject/airag/1009927 这是我用Cursor自行制作的RAG Framework，好处是可以掌控RAG每一个环节的教学细节。
This system helps organizations and individuals build a custom knowledge base to answer questions from their documents. You feed it your collection of documents, and it processes them to create a searchable knowledge base. The output is a web-based chat interface that can answer questions accurately by retrieving information directly from your provided content. This is for anyone who needs to quickly find specific information within their own large document sets without relying on external search engines or generic AI models.
101 stars.
Use this if you need a lightweight, customizable system to build a private question-answering tool over your own specific documents or internal knowledge base.
Not ideal if you're looking for an out-of-the-box solution that requires no technical setup or if you primarily need to answer questions from general internet knowledge.
Stars
101
Forks
94
Language
Python
License
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Category
Last pushed
Oct 28, 2025
Commits (30d)
0
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