Context-aware chunking from Google Drive to Pinecone via OpenRouter & Gemini

• Automate the extraction of text from Google Drive documents.
• Enhance search capabilities by converting text into vector embeddings.
• Streamline document management processes for better data retrieval.
• Utilize AI for contextual understanding of document sections.

Trigger the workflow manually to start the process. Download the document from Google Drive. Extract text data from the downloaded document. Split the extracted text into sections based on predefined delimiters. Prepare each section for processing by an AI agent. Generate contextual embeddings using Google Gemini. Store the generated embeddings in Pinecone for efficient retrieval.

1. 1
   Import the workflow template into n8n.
2. 2
   Connect your Google Drive and Pinecone accounts.
3. 3
   Configure the Google Drive node with the desired document ID.
4. 4
   Set up the OpenRouter and Gemini credentials for AI processing.
5. 5
   Run the workflow to test the extraction and embedding process.