Data
Vector Database
A vector database is a database optimized for storing embeddings and answering similarity queries ("give me the 10 most similar items to this one"). Common implementations include Pinecone, Weaviate, pgvector, and Qdrant.
Related terms
- Embedding — An embedding is a fixed-length vector of numbers that represents the semantic meaning of a piece of text (or image, audio).
- RAG (Retrieval-Augmented Generation) — RAG is a pattern in which an AI model retrieves relevant documents from a knowledge base at query time and uses them as additional context to generate its response.