Educational_RAG_System
> 后端框架End-to-end educational RAG system: dual-engine retrieval (BM25 + BGE-M3 hybrid vector search), adapt
126 stars0 点赞0 次浏览
工具介绍
End-to-end educational RAG system: dual-engine retrieval (BM25 + BGE-M3 hybrid vector search), adapt
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.
GitHub Issues· 0 开放
在 GitHub 查看全部暂无开放 Issues，或尚未同步最近议题。
> 标签
aillmmilvus
> 工具信息
发布日期2026年9月9日
最后更新2026年9月17日
分类后端框架
定价免费