How do you combine pgvector similarity search with SQL filters?

pgvector queries use standard SQL WHERE clauses alongside similarity operators, letting you combine vector search with any structured filter like tenant ID, date range, or category. The query planner decides whether to use the vector index or apply filters first, which depends on filter selectivity and available indexes. For highly selective filters, creating a partial HNSW index on the filtered subset or an iterative plan can be faster. pgvector 0.7 and later include iterative index scans that handle selective filters more efficiently.