Use Cases
- Automate data extraction from Google Drive for AI applications
- Enhance data usability by converting text to embeddings
- Streamline the process of storing data in Pinecone for easy access
- Facilitate efficient data management for machine learning projects
How It Works
Trigger the workflow manually to start the process Extract documents from Google Drive Process the extracted documents to retrieve text content Split the text into smaller segments for better handling Generate embeddings using OpenAI's model Insert the embeddings into Pinecone for storage
Setup Steps
- 1Import the workflow template into n8n
- 2Connect your Google Drive account for data extraction
- 3Set up OpenAI credentials for embedding generation
- 4Configure Pinecone credentials for data storage
- 5Test the workflow to ensure proper functionality
Apps Used
Google Drive
OpenAI
Pinecone
Categories
Target Roles
Tags
#data extraction
#process automation
#workflow management