3 cookbooks for building vector search with the valkey-search module. From basic KNN queries to hybrid search with filters.
Create an HNSW index, store FLOAT32 vectors, and run your first KNN search.
Build a real semantic search engine with OpenAI embeddings and 1536-dim vectors.
Combine KNN with TAG, NUMERIC, and TEXT filters for production-grade search.