Vector embeddings are essential for search and recommendations, measuring similarity in various languages and providing efficiency in AI app development.
Pgvector, a Postgres extension, is a powerful tool for storing and querying embeddings and combining standard SQL logic with embedding operations.
Working with embeddings feels like regular code compared to more complex language models, offering a simpler and more deterministic approach to AI development.