GenAI
Production RAG with Hybrid Search
Combine dense vector search with BM25 keyword search. Add query rewriting, hypothetical document embedding (HyDE), streaming response, and a full eval suite.
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Total Fee₹199
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Project Overview
Combine dense vector search with BM25 keyword search. Add query rewriting, hypothetical document embedding (HyDE), streaming response, and a full eval suite.
You will learn to:
- Combine dense vector search and BM25 keyword search using Reciprocal Rank Fusion
- Implement query rewriting to improve retrieval quality for ambiguous queries
- Apply HyDE (Hypothetical Document Embedding) to boost semantic search precision
- Build a streaming FastAPI + Streamlit layer on top of a production RAG system
- Build a streaming FastAPI + Streamlit layer on top of a production RAG system
Technologies You'll Use
pythonjavajavascriptcss
What's Included
- Detailed Project Requirements
- Implementation Milestones
- Submission Checklist
- Review Guidance
- Certificate of Completion