Glossary
Vector Database
Definition
A vector database stores data as numerical embeddings so an AI system can find information by meaning rather than exact keywords — the retrieval engine behind most RAG systems.
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Key points
- Enables semantic search: finds relevant content even when the words differ.
- Powers RAG, recommendations, and similarity search.
- Examples include pgvector, Pinecone, Weaviate, and Qdrant.
Quick answer
Vector Database — common question
Not always — for many projects an extension like pgvector on your existing Postgres is plenty. A dedicated vector database makes sense at higher scale or with specialized search needs.
From concept to working product.
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