🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant

n8n template #2982

Summary

🤖 AI-Powered RAG Chatbot with Google Drive Integration This workflow creates a powerful RAG (Retrieval-Augmented Generation) chatbot that can process, store, and interact with documents from Google Drive using Qdrant vector storage and Google's Gemini AI. How It Works Document Processing & Storage 📚 Retrieves documents from a specified Google Drive folder Processes and splits documents into manageable chunks Extracts metadata using AI for enhanced search capabilities Stores document vectors in Qdrant for efficient retrieval Intelligent Chat Interface 💬 Provides a conversational interface powered by Google Gemini Uses RAG to retrieve relevant context from stored documents Maintains chat hi

How to set it up

Open template #2982 on n8n.io and click Use for free, or copy the template JSON and paste it onto an empty canvas in n8n.
Create 8 credentials under Credentials → Add credential: Telegram, Google Drive, Google Docs, LangChain Code, Embeddings OpenAI, OpenAI Chat Model, Qdrant Vector Store, Google Gemini Chat Model. Then open each of those nodes and pick the credential.
Check the model in the AI Agent node. The template may point at a model your account can't use; swap it for one you have access to.
Click Execute workflow and step through each node's output to confirm the data looks right.
Toggle the workflow to Active so its trigger runs on its own.

Hand off to your agent

Prompt

Help me set up the n8n workflow "🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant" (https://n8n.io/workflows/2982). It uses: Telegram, Google Drive, Google Docs, AI Agent, LangChain Code, Embeddings OpenAI, OpenAI Chat Model, Simple Memory, Token Splitter, Default Data Loader, Qdrant Vector Store, Google Gemini Chat Model, Information Extractor. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.

Paste into Claude Code and it will do the rest.

Apps and nodes

Telegram Google Drive Google Docs AI AgentLangChain CodeEmbeddings OpenAI OpenAI Chat Model Simple Memory Token Splitter Default Data Loader Qdrant Vector Store Google Gemini Chat Model Information Extractor

Questions

Yes. Joseph LePage published it free on n8n.io as a verified creator, and it has 65K views. It runs on n8n Cloud or a self-hosted n8n instance.

Telegram, Google Drive, Google Docs, LangChain Code, Embeddings OpenAI, OpenAI Chat Model, Qdrant Vector Store, Google Gemini Chat Model. The other 5 nodes are built into n8n.

Similar workflows

NameViews