FareedKhan-dev / rag-zero-hallucinations
Handling 10M+ docs using RAG with zero hallucinatons
Why this job: says: rag; topics: rag
What it does
The more documents you put into a RAG system, the more ways it has to make things up, and as the corpus grows into the millions, toward 10M and beyond, that hallucination problem only gets worse. To keep answers trustworthy at that scale, you need a pipeline where the agent checks its own evidence and cites every claim it makes, the same idea behind the citations that Claude uses.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 months ago
- Stars
- 176
- +2 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Jupyter Notebook
- 100% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- None
- No issues filed
- Pull requests
- 0 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Jupyter Notebook 100%
Topics
- ai
- llms
- rag
- rag-chatbot
Project record
- JobRAG and search
- StatusListed
- Commits3
- Forks52
- Watching4
- Stars in 28 days+11
- CreatedJun 6, 2026
- First seen by usNov 7, 2026
- CheckedNov 7, 2026
