Data extraction and embedding insertion from Google Drive to Pinecone

• Automate data extraction from Google Drive files for analysis.
• Embed document chunks into a Pinecone vector store for efficient retrieval.
• Utilize AI models to answer questions based on stored data.
• Enhance data accessibility and interaction through automated workflows.

Fetch a file from Google Drive using its URL. Split the file content into smaller chunks for processing. Insert the document chunks into a Pinecone vector store. Enable a chat interface for querying the stored data. Utilize OpenAI models to generate responses based on user queries.

1. 1
   Import the workflow template into n8n.
2. 2
   Set the Google Drive file URL in the 'Set Google Drive file URL' node.
3. 3
   Configure the Pinecone index settings in the relevant nodes.
4. 4
   Test the workflow by clicking the 'Test Workflow' button.
5. 5
   Use the 'Chat' button to interact with the data.