AI Glossary
Vector Database
A vector database stores embeddings and finds the most similar ones fast, the retrieval engine behind semantic search and RAG.
When a question comes in, it’s embedded and the database returns the closest passages by meaning, not keywords. Tools like Pinecone, Weaviate and pgvector make this practical at scale, so an AI can search millions of documents in milliseconds and ground its answer in the right ones.
Where we put this to work
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