AI chatbot for n8n docs with RAG-based answers via webh

This workflow creates an AI assistant that answers questions about n8n documentation using RAG and a vector store. Responses are strictly based on official sources—no hallucinations. Ideal for developers, support teams, and technical educators working with n8n.

## Who it´s for
- Developers actively using n8n who need fast access to up-to-date documentation.
- Technical specialists training or advising others on the platform.
- Support teams aiming to automate responses to common functional queries.
- Integrators needing to quickly find solutions in n8n docs.

## What the automation does
- Scrapes docs.n8n.io and stores content in an in-memory vector database.
- Splits text into chunks and embeds them using OpenAI Embeddings.
- Accepts user questions via HTTP webhook (e.g., from a web chat interface).
- Retrieves relevant documentation snippets based on the query.
- Generates accurate responses using a GPT model, strictly referencing indexed data.
- Maintains conversation memory for coherent multi-turn interactions.

## What´s included
- Ready-to-use n8n workflow with LangChain and RAG logic.
- Trigger logic: webhook, manual execution, and event-based triggers.
- Integrations only with services listed: OpenAI, n8n Documentation, Web Chat Interface.
- Basic setup and adaptation guide.

## Requirements for setup
- n8n account with workflow editing permissions.
- OpenAI API key.
- Access to an HTTP endpoint (web page or chat) to send requests via webhook.

## Benefits and outcomes
- Reduced support load by automating answers to frequent questions.
- Faster documentation lookup for new and experienced users.
- Guaranteed answer accuracy — the bot never invents, only cites official sources.
- Easy integration into existing interfaces via simple webhook.

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.