AI RAG Chatbot: Google Drive Docs + Gemini + Qdrant
Builds a powerful RAG chatbot that processes Google Drive docs, stores vectors in Qdrant, and chats via Gemini AI with history in Google Docs.
This workflow creates an advanced Retrieval-Augmented Generation (RAG) chatbot integrated with Google Drive for document retrieval, Gemini AI for intelligent responses, and Qdrant for vector storage. It automatically fetches documents from a specified Drive folder, splits them into chunks, extracts metadata with AI, and stores embeddings for fast retrieval. The chat interface maintains conversation history in Google Docs, ensuring context-aware, accurate responses while supporting secure delete
- Platform
- n8n
- Category
- CRM - Sales
- Price
- $24.99
- Creator
- Jordi Faber
- RAG
- Chatbot
- Google Drive
- Gemini AI
- Qdrant
- Vector Database
- Document Processing
- AI Chat
- Sales CRM
- Automation
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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