Data processing and storage for renewable incentives in Pinecone

• Automate data collection for renewable energy incentives
• Efficiently process and store large datasets in Pinecone
• Enable quick querying of renewable incentive information
• Log processed data into Google Sheets for reporting
• Utilize AI for enhanced data insights and decision-making

Receive data via a webhook Split incoming data into manageable chunks Transform data into embeddings for semantic understanding Store embeddings in a Pinecone vector database Query stored data for insights Log results into Google Sheets for easy access

1. 1
   Import the Renewable Incentive Tracker workflow
2. 2
   Configure the webhook settings for data reception
3. 3
   Set up Pinecone and Google Sheets credentials
4. 4
   Adjust chunk size and overlap parameters in the Splitter node
5. 5
   Test the workflow with sample data to ensure functionality