RAG Chatbot for Company Docs with Google Drive & Gemini
Implements a RAG chatbot that indexes company documents from Google Drive into Pinecone and answers queries using Gemini AI for accurate, context-aware responses.
This n8n workflow creates a Retrieval Augmented Generation (RAG) chatbot tailored for company knowledge bases. It automatically detects new or updated documents in a Google Drive folder using two trigger nodes, downloads them, extracts content, splits into chunks, generates embeddings with Google's Gemini text-embedding-004 model, and stores them in a Pinecone vector database. This ensures the knowledge base stays current without manual intervention.
The chat interface is powered by a Chat Trig
- Platform
- n8n
- Category
- Website Building
- Price
- $24.99
- Creator
- Matt Buds
- RAG
- Chatbot
- Google Drive
- Gemini AI
- Pinecone
- Vector Database
- AI Agent
- Embeddings
- Document Indexing
- Knowledge Base
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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