Einstein Generative AI Analytics

Collect and store Einstein generative AI data in Data 360. Enhance your generative AI solutions with insights gained from dashboards and reports.

• Einstein Audit and Feedback Data
  Collect and store Einstein generative AI audit and feedback data in Data 360 and enhance your generative AI applications with feedback analytics, prompt adjustments, and LLM tuning.
• Data Model for Agentforce Log Events
  Use the data in the AI Agent Session Logging data model object (DMO) to monitor log events during AI agent sessions.
• Knowledge/RAG Quality Data and Metrics
  Monitor knowledge retrieval quality scores for your Agentforce and generative AI solutions in production and sandbox environments. Use built-in dashboards and reports to track run-time performance, view trends, and identify areas to improve. Retrieval Augmented Generation (RAG) quality metrics help you identify problem patterns, conduct root cause analysis, and fine-tune your RAG-powered solutions.
• Monitor and Analyze Einstein Service Replies
  Evaluate and track the effectiveness of Einstein Service Replies in your organization by creating custom report types that connect case and messaging session data with generative AI audit and feedback data.