030104-lancedb-hybridlisted

# Hybrid & Multivector Search ## Overview Advanced search patterns combining vector and text search, multi-embedding late interaction models (ColBERT), and metadata filtering. ## Quick Reference ### Hybrid Search ``` vector search + FTS → RRF fusion → reranked results ``` ```typescript const results = await table.search("query") .vector(queryVector) .text("search terms") .reranker(new RRFReranker(100)) .toArray() ``` ### Multivector (ColBERT) - Late interaction: query tokens ↔ document tokens - MaxSim scoring for relevance - IVF_PQ index with cosine metric for multivector columns ### Filtering | Approach | When | Performance | |----------|------|-------------| | Pre-filter | Before ANN | Fast with scalar indexes | | Post-filter | After ANN | May lose results | | Push-down | SQL pushdown | Most efficient | ## References - [Hybrid Search](references/hybrid-search.md) — Vector + FTS combination, RRF reranking - [Multivector Search](references/multivector-search.md) — ColBERT, late interaction, MaxSim scoring - [Filtering](references/filtering.md) — Pre/post filtering, SQL expressions, scalar indexes