A new PostgreSQL extension is now available in Supabase: pgvector, an open-source vector similarity search. By Greg Richardson.
The exponential progress of AI functionality over the past year has inspired many new real world applications. One specific challenge has been the ability to store and query embeddings at scale.
Further in the article:
- What are embeddings?
- Human language
- How do embeddings work?
- OpenAI embeddings
- Embeddings in practice
- Using PostgreSQL
… and more. Storing embeddings in Postgres opens a world of possibilities. You can combine your search function with telemetry functions, add an user-provided feedback (thumbs up/down), and make your search feel more integrated with your products. Good read!
[Read More]