gomate-community/TrustRAG
TrustRAG：The RAG Framework within Reliable input,Trusted output
Need to build a system that answers questions based on your documents, guaranteeing the answers are relevant and trustworthy? TrustRAG helps you achieve this by taking your raw text, PDFs, web pages, or other documents and processing them into a format that large language models (LLMs) can use to generate accurate answers. It's designed for anyone who needs to extract reliable information and generate credible responses from a large body of content, such as researchers, analysts, or content managers.
1,233 stars. Available on PyPI.
Use this if you need to build a robust, customizable question-answering system that cites its sources and provides deep, reliable information from your specific data.
Not ideal if you're looking for a simple, out-of-the-box chatbot without needing to customize retrieval or ensure trusted, cited outputs.
Stars
1,233
Forks
130
Language
Python
License
—
Category
Last pushed
Jan 07, 2026
Commits (30d)
0
Dependencies
65
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