Vector database
A type of database that stores embeddings and can find the closest match to a query by meaning.
Also called
- Vector store
- Vector index
- Vector DB
Kind of
- RAG A technique for grounding that finds relevant text in your documents or data and adds it to the model's context, so the model writes its answer from that text without being changed.
Often confused with
- Knowledge base A curated collection of documents that a person or an AI system can access and use as context.
How it connects
- Embedding are stored in Vector database
- Embedding model fills a Vector database