wangxb96/RAG-QA-Generator
RAG-QA-Generator 是一个用于检索增强生成（RAG）系统的自动化知识库构建与管理工具。该工具通过读取文档数据，利用大规模语言模型生成高质量的问答对（QA对），并将这些数据插入数据库中，实现RAG系统知识库的自动化构建和管理。
This tool helps non-technical users build and manage a knowledge base for a Retrieval Augmented Generation (RAG) system. You provide unstructured documents like PDFs, Word files, or plain text, and it automatically generates high-quality question-answer pairs. These pairs are then stored in a searchable knowledge base, making information from your documents easily accessible for AI-powered Q&A applications.
263 stars. No commits in the last 6 months.
Use this if you need to quickly and automatically convert a large volume of unstructured documents into a structured question-answer knowledge base for an AI chatbot or Q&A system.
Not ideal if your primary need is simply to store documents without transforming them into a Q&A format, or if you require extremely fine-grained manual control over every generated question and answer.
Stars
263
Forks
32
Language
Python
License
Apache-2.0
Last pushed
Dec 26, 2024
Commits (30d)
0
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