AI025
Practical RAG Systems: From Knowledge Bases to Retrieval-Augmented Generation
Advanced Retrieval Optimization: Hybrid Search and Reranking
Learning Objectives
- Differentiate between Sparse (BM25) and Dense (Vector) retrieval mechanics
- Implement Reciprocal Rank Fusion (RRF) for multi-source scoring
- Deploy Cross-Encoder rerankers to improve top-k document relevance
- Evaluate performance trade-offs between retrieval latency and precision