Vector-Enabled Extensions in Existing Databases

These systems extend traditional databases (like Redis or PostgreSQL) to support vector search alongside tabular or key-value storage. Ideal for developers already using these platforms who want to introduce similarity search or RAG capabilities without adopting a separate vector DB.

Tools:

• Redis Vector (Redis Search Module) – Adds HNSW and FLAT index support for vector search in Redis. Supports hybrid queries combining scalar filters and embeddings.

• pgvector (PostgreSQL extension) – Adds vector indexing to Postgres, making it easy to run similarity search alongside traditional SQL operations. Used in many RAG pipelines and supported in tools like Supabase.