Educational_RAG_System
End-to-end educational RAG system: dual-engine retrieval (BM25 + BGE-M3 hybrid vector search), adaptive query strategies (HyDE/sub-query/backtracking), BERT intent classification, BGE-Reranker precision ranking, Chinese-optimized text splitting, and FastAPI SSE streaming — from documents to real-time answers.
Happy-Chen-CH/Educational_RAG_System
View on GitHub ↗End-to-end educational RAG system: dual-engine retrieval (BM25 + BGE-M3 hybrid vector search), adaptive query strategies (HyDE/sub-query/backtracking), BERT intent classification, BGE-Reranker precision ranking, Chinese-optimized text splitting, and FastAPI SSE streaming — from documents to real-time answers.
Educational_RAG_System grew -73.2% in the last 30 days, ranks 1521st of 1,535 in Memory & Knowledge (RAG), last commit 124 days ago.
Star trajectory
79 days tracked-73.2% in 30d, below the Memory & Knowledge (RAG) median of +0.9%.
Last commit 124 days ago, staler than the median of 16d.
How it compares in Memory & Knowledge (RAG)
Ranked 1521st of 1,535 by stars.
- Language
- Python
- License
- -
- Contributors
- 1
- Forks
- 3
- Watchers
- 1
- Open issues
- 0
- Releases
- 0
- Created
- 2026-06-15
- Stars this week
- +0
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