Hybrid Search: Best of Both Worlds

About this video

Combine keyword (BM25) and semantic (vector) search for maximum retrieval effectiveness. Learn when keyword search fails with synonyms and paraphrasing, when semantic search fails with specific IDs and acronyms, and how to use score fusion strategies to get the best of both worlds. What you'll learn: ⚡ Trade-offs between keyword and semantic search ⚡ Precision vs recall in retrieval systems ⚡ Score fusion strategies (RRF, weighted, distribution-based) ⚡ The 80/20 rule for catching edge cases ⚡ Building hybrid retrievers with feature_filter and attribute_filter ⚡ Real-world example: Developer documentation search