RAG Embedding

Noun · AI & Machine Learning

Definitions

  1. An embedding used within a retrieval-augmented generation system to represent documents, chunks, or queries for semantic search. The embedding model chosen for RAG can strongly affect retrieval quality.

    In plain English: The embedding representation used to power retrieval in a RAG system.

    Example: "They rebuilt the index with a better RAG embedding model after users kept getting semantically similar but policy-irrelevant results."

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