root@fr:~$ lexique/rag

RAG

Architecture

Retrieval augmented generation: a technique that first retrieves relevant documents from your stores, then feeds them to the model so it grounds its answer on them. It anchors answers in your data and makes source citation possible.

Also called Retrieval augmented generation, Génération augmentée par récupération

Related terms

Base vectorielle

Architecture

A database specialised in storing and searching embeddings. It quickly finds the passages closest to a question, the central step of a per-customer isolated...

Embeddings

Architecture

Numerical representations of your texts as vectors, where contents close in meaning sit close in space. They make possible the semantic search that powers RAG.

Citation et ancrage

Governance

Linking each generated answer to the exact source that supports it in your documents. This turns a statement into something verifiable and limits liability...

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