Glossary AI

Vector Database

A database optimized for storing and searching embeddings. Lets agents find "the most semantically similar document" in milliseconds across millions of items. Examples include Pinecone, Weaviate, Chroma, and pgvector.

Related terms

Embedding

A numerical representation of text (or images, audio, etc.) as a vector — a long list of numbers — capturing semantic meaning. ...

RAG (Retrieval Augmented Generation)

A technique where an AI model looks up relevant information from a database before generating its answer. Combines a search ind...

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