Document processing and vector storage from Google Drive to Pinecone via OpenRouter and Gemini

• Automate document extraction from Google Drive for analysis
• Transform text data into vector embeddings for AI applications
• Improve search and retrieval capabilities of document sections
• Facilitate content management and organization for large documents

Trigger the workflow manually to start the process Download the document from Google Drive using its file ID Extract text data from the downloaded document Split the extracted text into sections based on defined separators Prepare each section for context generation using an AI agent Convert the sections and their context into vector embeddings Store the generated vectors in Pinecone for efficient search and retrieval

1. 1
   Import the workflow template into n8n
2. 2
   Connect your Google Drive and Pinecone accounts
3. 3
   Set the file ID for the document you want to process
4. 4
   Adjust any parameters as needed for your specific use case
5. 5
   Run the workflow to test the document processing