root@fr:~$ lexique/embeddings

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.

Also called Plongements, Vecteurs

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...

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...

Recherche sémantique

Architecture

Search that finds information by meaning rather than exact words, by comparing embeddings. It lets an agent find the right passage even when the question is...

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