RAG Chatbot for Company Docs with Google Drive & Gemini - n8n Workflow | Neura Market
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.