Google Drive to Pinecone RAG Vector Storage Workflow
Automates processing of Google Drive documents into Pinecone vector embeddings for an AI-powered RAG chatbot that answers queries accurately.
This workflow monitors Google Drive folders for new or updated files like PDFs, Excel, and Google Docs, processes them by chunking content and generating embeddings with OpenAI, then stores them in Pinecone for efficient retrieval. It enables a conversational chat interface where users query documents, leveraging RAG to fetch relevant sections and generate precise responses.
Benefits include automating knowledge base creation, saving hours on manual data handling, ensuring up-to-date info from
- Platform
- n8n
- Category
- Real Estate
- Price
- $24.99
- Creator
- Zoltan Nguyen
- Google Drive
- Pinecone
- RAG
- Vector Database
- OpenAI
- Chatbot
- Document Processing
- AI Automation
- Real Estate
- Data Extraction
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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