The RAG pipeline, in the querying period, sources quite possibly the most pertinent context from a person’s prompt, forwarding it alongside to the big Language design. This equips the LLM with present / private https://www.juust.org/index.php/build-a-free-rag-system-with-n8n/2024/09/