Stop scraping websites for RAG β€” n8n node for ultra-fast context retrieval!

Hey everyone :waving_hand:

I built an n8n node that connects directly to ProtoContext, a system that replaces classic RAG + HTML scraping.

Instead of scraping pages, chunking content and querying a vector DB, the node queries a search engine that indexes plain-text context.txt files published by websites.

These files contain clean, structured context (products, rooms, policies, APIs), so agents don’t need to guess or parse UI content.

What this gives you:

  • much lower latency <30ms

  • fewer tokens

  • no scraping or embeddings

  • faster and more reliable agent responses

n8n node:
https://www.npmjs.com/package/n8n-nodes-protocontext

Project:
https://protocontext.org/

Would love feedback from people building AI workflows in n8n :rocket: