RAG: making a model answer from your own documents
A model has not read your documents. RAG means finding the right passages before you ask it the question. Chunking, embeddings, hybrid search, citations: where quality is won and where it is lost.
etiquette
A model has not read your documents. RAG means finding the right passages before you ask it the question. Chunking, embeddings, hybrid search, citations: where quality is won and where it is lost.
Un modèle ne connaît pas vos documents. Le RAG consiste à retrouver les bons passages avant de lui poser la question. Découpage, embeddings, recherche hybride, citations : où la qualité se gagne, et où elle se perd.