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Reranking

Second-stage retrieval where a cross-encoder model re-scores retrieved documents for query relevance. More accurate than bi-encoder similarity alone. Adds 50-200ms latency.

Where this is taught

• Advanced Retrieval — Hybrid Search, Reranking, and Parent-Child Chunking — Phase 4: RAG Pipelines in Workflows
• Retrieval, Reranking, and Hybrid Search — Phase 6: RAG Systems & Knowledge Grounding
• Retrieval Tuning on Proprietary Documents — Phase 3: Enterprise RAG Systems
• Dify Knowledge Base Deep Dive — Chunking, Indexing, and Retrieval — Phase 6: Dify & Visual AI App Builders
• Performance Optimization & Scaling — Phase 8: Production Hardening & Operations
• RAG Pipeline End-to-End — Phase 3: Enterprise RAG Systems

More in RAG

Chunking · Semantic Search · Hybrid Search

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