A numerical representation of text (or images, audio, etc.) as a vector — a long list of numbers — capturing semantic meaning. Used for similarity search, clustering, and retrieval in RAG systems. Two pieces of text with similar meaning have embeddings that are close together.
Related terms
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...
Vector Database
A database optimized for storing and searching embeddings. Lets agents find "the most semantically similar document" in millise...
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