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