Content: 00656.zip (33.89 KB)
Uploaded: 22.12.2025

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$7.55
This workflow builds an AI assistant that answers technical questions about n8n by retrieving information exclusively from the official documentation. Powered by RAG (Retrieval-Augmented Generation), Google Gemini embeddings, and an in-memory vector store, it enables developers and technical teams to get precise, up-to-date answers without AI hallucinations.

## Who it´s for
- n8n developers who need fast, accurate access to node and function documentation.
- Technical specialists learning n8n and requiring real-time guidance during implementation.
- DevOps teams automating processes and relying on error-free knowledge sources.
- Trainers and educators in low-code automation using RAG to build educational bots.

## What the automation does
- Scrapes and indexes text from the official n8n documentation using an HTTP Web Scraper.
- Splits content into chunks and generates vector embeddings via Google Gemini.
- Stores vectors in an in-memory vector database for fast retrieval.
- On user query via webhook, triggers a LangChain RAG agent to find relevant documentation snippets.
- Generates accurate responses with contextual awareness using conversation memory.
- Supports follow-up questions by preserving dialogue history.

## What´s included
- Ready-to-use workflow for n8n.
- Trigger logic (manual, HTTP webhook, execute trigger).
- Integrations with Google AI API, n8n Documentation, and HTTP Web Scraper.
- Basic setup and adaptation guide.

## Requirements for setup
- n8n instance with workflow editing access.
- Google AI API key for Gemini access.
- Internet connection to scrape n8n documentation.

## Benefits and outcomes
- Eliminates AI hallucinations — all answers are grounded in official docs.
- Speeds up technical lookup by orders of magnitude.
- Reduces dependency on senior experts for onboarding new team members.
- Acts as an internal n8n expert for growing teams.
- Easily scalable for organizational knowledge sharing.
- No external databases required — runs fully in memory after indexing.

## 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.
n8n AI assistant
documentation chatbot
RAG for n8n
n8n documentation search
answer questions about n8n
hallucination-free AI
in-memory vector store
LangChain agent
Google Gemini embeddings
n8n technical support
n8n learning bot
DevOps knowledge assistant
low-code automation
documentation indexing
chat memory context
n8n node query
n8n code examples
knowledge automation
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