The RAG pipeline, in the querying stage, resources the most pertinent context from the person’s prompt, forwarding it along to the Large Language product. This equips the LLM with current / personal understanding past https://www.juust.org/index.php/build-a-free-rag-system-with-n8n/2024/09/