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RAG explained simply

RAG is the technique that connects an LLM to your documents for grounded, hallucination-free answers. We explain the mechanism, technical stack and optimizations that make a difference.

13 min readPublished May 5, 2026

In one sentence

RAG (Retrieval Augmented Generation) is a technique that connects an LLM to your knowledge base: instead of inventing, the model searches your documents and answers based on them. It's become THE technical building block of enterprise chatbots in 2026.

(EN content abbreviated — full FR version is the primary content)

Tags
RAGEmbeddingsArchitectureRecherche sémantique

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