- Automate the analysis of MES logs for operational insights
- Store and query log data efficiently using vector databases
- Generate reports from analyzed data in Google Sheets
- Enhance decision-making with AI-driven insights from manufacturing data
Webhook receives MES log data and triggers the workflow Logs are split into smaller chunks for efficient processing Embeddings are generated from the log chunks using AI models Insights are stored in a Weaviate vector store for easy retrieval Users can query the vector store for relevant information Results are documented in Google Sheets for reporting and analysis
- 1Import the MES Log Analyzer workflow template
- 2Configure the webhook to receive MES log data
- 3Set up credentials for Weaviate and Google Sheets
- 4Adjust parameters for the Splitter and Embeddings nodes as needed
- 5Test the workflow with sample MES log data