qian1230/RAG_simple_system

RAG 智能检索系统一个基于向量数据库的智能文档检索系统，支持 PDF 导入、向量嵌入和智能检索功能。基于hello_agents学习

Python1 stars0 forks

What it does

RAG_simple_system is an intelligent document retrieval system that leverages vector databases for efficient PDF import, embedding, and semantic search. It enhances document accessibility and retrieval accuracy, making it valuable for researchers and professionals dealing with large volumes of text.

Star history

Not enough history yet — 1 day(s) recorded. The daily snapshot builds this up.

Tracking

Last trending: 2026-02-21

Creator kit

Hook

Unlock the power of intelligent document retrieval with RAG_simple_system—your go-to tool for efficient PDF processing!

Content angles

Create a tutorial on how to set up and use RAG_simple_system for document retrieval.
Develop a comparison video between traditional search methods and RAG's vector-based approach.
Write a blog post on the importance of semantic search in modern applications and how RAG_simple_system implements it.

Who should care

Researchers, data scientists, and developers interested in document processing and retrieval systems.