Hybrid Search Implementation

Combines vector similarity search with keyword matching using reciprocal rank fusion and linear score combination. Includes PostgreSQL implementations with pgvector for when you need both semantic understanding and exact term matching in RAG systems. The templates handle score normalization, metadata filtering, and cross-encoder reranking. Most useful when pure vector search misses specific names or technical terms that users search for literally. The RRF approach works well out of the box, while the weighted linear combination gives you more control when you know your data patterns.