· about 3 hours ago· Dev.to
Build a RAG Pipeline in n8n: Query 3,000 Pages in 5 Seconds
Three weeks ago I needed a way to query a large document corpus without sending everything to an LLM every time. The answer was a RAG (Retrieval-Augmented Generation) pipeline — but I wanted to build it inside n8n, not a Python script that I'd have to maintain separately. Here's the architecture I l
#rag#n8n#data querying#ai solutions#india tech