- Automate quality defect classification for manufacturing processes
- Streamline data entry and logging of defects into spreadsheets
- Enhance quality control reporting with automated insights
- Utilize AI to improve defect detection and classification accuracy
Webhook receives incoming data related to quality defects Data is split into smaller chunks for easier processing Embeddings are generated using OpenAI for better understanding Results are stored in a Redis vector store for efficient retrieval Memory component retains context for enhanced interaction Chat model allows for querying and interaction with the stored data Final results are logged into Google Sheets for tracking and analysis
- 1Import the Quality Defect Classifier workflow template
- 2Configure the webhook settings to receive defect data
- 3Set up OpenAI and Redis credentials for embeddings and storage
- 4Connect Google Sheets to log the results
- 5Test the workflow with sample data to ensure functionality