Community Contributed: Google Drive to Pinecone Chat
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Fetch a file from Google Drive, store it in Pinecone, and chat with its content.
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About This Workflow
Overview
This workflow demonstrates how to fetch a file from Google Drive, process its content by splitting it into chunks, embed these chunks, and then store them in a Pinecone vector database. Once the data is indexed, you can interact with it by asking questions and receiving answers based on the file's content, with citations provided.
Key Features
- Fetch files from Google Drive.
- Split text content into manageable chunks.
- Generate embeddings using OpenAI.
- Store and retrieve data from Pinecone.
- Chat with the vectorized data.
- Receive answers with citations.
How To Use
- Set up your Google Drive and Pinecone credentials in n8n.
- Ensure you have an OpenAI API key configured.
- Create a Pinecone index with the correct dimensions (e.g., 1536).
- Configure the
file_urlin the 'Set file URL in Google Drive' node to point to your desired file in Google Drive. - Click the 'Execute Workflow' button to populate Pinecone.
- Use the 'chat' button (or equivalent trigger) to ask questions about the file's content.
Apps Used
Workflow JSON
{
"id": "854e8524-edd9-4715-96bc-181d8847335b",
"name": "Community Contributed: Google Drive to Pinecone Chat",
"nodes": 0,
"category": "Community Contributed",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 854e8524-edd9...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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