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Glossary · Embedding

Embedding

An embedding is a numerical vector that represents the meaning of a piece of text, image, or other data, so that similar items sit close together in vector space.

A model converts content into a fixed-length vector; comparing vectors by distance approximates how semantically similar two items are.

Embeddings power semantic search and retrieval-augmented generation, and are stored and queried in a vector database.

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Related terms
Vector Database
A vector database is a database that stores data as numerical embedding vectors and retrieves items by similarity, enabl…
Context Window
A context window is the maximum amount of text, measured in tokens, that a language model can consider at once when gene…
Retrieval-Augmented Generation (RAG)
Retrieval-augmented generation (RAG) is a technique where an AI model retrieves relevant documents from a knowledge sour…
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