Replaces standard vector-only RAG with a framework that integrates Knowledge Graphs into the LLM retrieval pipeline. It uses structured relationships to provide context for knowledge-intensive tasks, significantly reducing factual hallucinations.
Tech Stack
Jupyter NotebookAI, ML & Data
Why KG_RAG?
• Reduces LLM hallucinations
• Handles complex queries
• Open research-backed approach
Limitations
• Requires KG construction
• Higher latency than vector RAG
• Python dependency management
3/5/2026
Last Update
111
Forks
6
Issues
Apache-2.0
License
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