Document upload to Pinecone Vector Database from Google Drive

• Automate document uploads from Google Drive to a vector database.
• Enhance data retrieval capabilities using AI embeddings.
• Streamline document management for machine learning applications.
• Facilitate semantic search and recommendations based on document content.

Trigger the workflow manually to start the document upload process. Download the specified document from Google Drive. Load the document data into the workflow for processing. Split the document into manageable chunks for better analysis. Generate embeddings using OpenAI to represent the document content. Insert the embeddings into the Pinecone Vector Database for storage.

1. 1
   Import the workflow template into n8n.
2. 2
   Connect your Google Drive account for document access.
3. 3
   Set up your Pinecone account for vector storage.
4. 4
   Configure OpenAI credentials for embeddings generation.
5. 5
   Test the workflow by clicking 'Test workflow' to initiate the process.