Redis Vector

Redis Vector Search, built into Redis Stack and Redis Enterprise, enables real-time vector similarity search directly within Redis alongside traditional data structures, eliminating the need for a separate vector database in applications already using Redis for caching or session management. It supports HNSW and flat indexing algorithms, hybrid queries combining vector similarity with Redis filter expressions, and integrates with popular ML frameworks for embedding storage and retrieval. Engineering teams already operating Redis infrastructure use Redis Vector Search to add semantic search and RAG capabilities to their applications by extending their existing Redis deployment rather than introducing and managing a dedicated vector database.