Intelligent Document Chunking with Google Drive, OpenRouter, and Pinecone
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This workflow leverages advanced AI to intelligently chunk and vectorize your documents from Google Drive. It uses OpenRouter and Gemini for context-aware processing, storing the results in Pinecone for efficient retrieval.
About This Workflow
Unlock the power of your documents with this sophisticated automation workflow. Seamlessly pull documents from Google Drive, then employ an AI agent to understand and contextualize each section before splitting it into manageable chunks. Using OpenRouter and Google's Gemini for embeddings, this workflow generates high-quality vector representations. Finally, these vectorized chunks are efficiently stored in a Pinecone vector database, ready for powerful semantic search and retrieval. This is ideal for building knowledge bases, improving search accuracy, and powering AI-driven applications.
Key Features
- Context-Aware Chunking: AI agent intelligently contextualizes document sections before splitting.
- Google Drive Integration: Effortlessly ingest documents directly from your Google Drive.
- Powerful AI Models: Utilizes OpenRouter and Google Gemini for advanced text processing and embeddings.
- Vector Database Storage: Stores vectorized data in Pinecone for fast and accurate retrieval.
- Automated Workflow: Streamlines the complex process of document preparation for AI.
How To Use
- Connect your Google Drive: Authorize the workflow to access your Google Drive account.
- Configure Google Gemini/OpenRouter Credentials: Ensure your API keys for Google Gemini and OpenRouter are correctly set up in n8n.
- Set Pinecone Index: Specify the name of your Pinecone index where the vectorized data will be stored.
- Provide Google Drive File ID: Input the ID of the Google Drive document you want to process.
- Trigger the Workflow: Initiate the workflow by clicking 'Test workflow' or by setting up an automated trigger.
- Monitor Execution: Observe the workflow's progress and review the output in Pinecone.
Apps Used
Workflow JSON
{
"id": "75e0a433-adab-4d5b-9bd3-8ab48448684c",
"name": "Intelligent Document Chunking with Google Drive, OpenRouter, and Pinecone",
"nodes": 24,
"category": "Marketing",
"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: 75e0a433-adab...
About the Author
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