Glossary · AI & Development
Vector Database
A specialised database that stores text or other content as numeric embeddings and supports similarity search.
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A vector database stores embeddings, the high dimensional numeric representations that AI models produce for text, images or audio. The database supports nearest neighbour search, so given a query embedding it returns the most similar stored embeddings. This is the storage layer for retrieval-augmented generation and semantic search. Common options include Pinecone, Weaviate, Qdrant, Postgres with pgvector and Supabase's vector extension. Each makes different trade offs on hosting, cost and query speed.
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