Content: 00144.zip (23.29 KB)
Uploaded: 14.01.2026

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$6.95
# Chatbot answering from Google Drive docs with source citations

This workflow enables a chatbot that answers user queries based on documents stored in Google Drive, automatically citing sources. Built with n8n, LangChain, Qdrant, OpenAI embeddings, and Google Gemini, it uses RAG to deliver accurate, traceable responses—ideal for customer support, legal teams, consultants, or internal knowledge bases.

## Who it´s for
- Companies needing an internal chatbot for documentation access
- Support teams using up-to-date files as response sources
- Legal and consulting firms with high document volume
- Developers implementing RAG systems without coding
- Knowledge base owners wanting AI search with citation

## What the automation does
- Triggers on incoming chat messages or manual test runs
- Retrieves relevant text chunks from Qdrant vector database
- Generates human-readable answers using Google Gemini
- Returns responses with source file references
- Ingests and processes documents from Google Drive
- Converts content into vectors via OpenAI embeddings
- Stores embeddings in Qdrant for fast retrieval

## What´s included
- Ready-to-use n8n workflow
- Trigger and handler logic for chat-based queries
- Integrations with Google Drive, Qdrant, Google Gemini, and OpenAI
- Basic setup and adaptation guide

## Requirements for setup
- n8n instance with external API access
- Google Drive account with read permissions
- Qdrant instance (cloud or self-hosted)
- OpenAI API key for embeddings
- Google Gemini API key for response generation

## Benefits and outcomes
- Accurate, verifiable answers from trusted internal documents
- Reduced workload for support and operations staff
- Instant access to knowledge without manual searching
- Easy knowledge base updates via Google Drive sync
- No need for backend development
- Audit-ready responses with source citations

## 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 chat
chatbot with source citation
RAG system on n8n
document search Google Drive
question answering from files
Qdrant vector database
LangChain with Google Gemini
automatic source citation
AI document processing
n8n workflow documents
answers with sources
document management RAG
PDF parsing Google Drive
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no-code RAG system
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