root@fr:~$ lexique/fenetre-de-contexte

Fenêtre de contexte

Models

The maximum amount of text, measured in tokens, a model can take into account to produce an answer: the question, the documents provided, the history of the exchange. Whatever exceeds it is lost; hence RAG, which retrieves the right passages instead of loading everything.

Also called Context window

Related terms

Token

Models

The unit of text a model works with: a short word, a fragment of a word or a punctuation mark. It is also the billing unit of inference; the volume of...

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...

Agent persistant

Architecture

An agent that keeps memory across sessions, letting it reuse acquired knowledge and skills rather than starting from scratch at each request. Persistence...

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