pgvector
Vector similarity search as a PostgreSQL extension, keeping embeddings beside your data.
Überblick
pgvector adds vector columns and approximate nearest-neighbour indexes to PostgreSQL. It solves the operational problem of a second datastore: when embeddings live in their own database, every query has to join across two systems and every transaction has to consider both. It exists because for most applications the vector count is small enough that one database is simpler, and filtering by ordinary columns alongside similarity is exactly where a dedicated vector database is weakest.
Technologiegraph
Wie pgvector mit dem übrigen Stack zusammenhängt.
Nutzt und hängt ab von
- Embedding concept Techniques pgvector uses Embedding High ✓ source
Classification
- PostgreSQL database Databases pgvector part of PostgreSQL High ✓ source
Werkzeuge
Software, die pgvector implementiert oder integriert.