A technical showcase that replaces basic vector search with sophisticated retrieval-augmented generation patterns. It includes code for hybrid search, reranking, and query transformation to improve LLM accuracy.
Tech Stack
Jupyter NotebookAI, ML & Data
Why RAG_Techniques?
• Covers 20+ advanced RAG patterns
• Clear, modular code examples
• Focuses on solving hallucination issues
Limitations
• Not a plug-and-play framework
• Requires deep understanding of RAG
• No built-in UI for testing
3/6/2026
Last Update
3,026
Forks
22
Issues
Other
License
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