Maxim AI’s RAG Application Evaluation Capabilities
Maxim AI provides comprehensive tools for RAG application evaluation:- Automated Testing Infrastructure: Run systematic tests measuring metrics across all evaluation dimensions
- Real-Time Monitoring: Track performance on production traffic with comprehensive dashboards
- Component-Level Analysis: Separately evaluate retrieval and generation to pinpoint issues
- A/B Testing Framework: Compare different RAG configurations with controlled rollouts
- Custom Evaluation Metrics: Define application-specific success criteria beyond standard metrics
- Hallucination Detection: Automatically identify and flag responses containing unsupported claims
- Cost Analytics: Track and optimize operational costs with detailed breakdowns
- User Feedback Integration: Collect and analyze user feedback to complement automated metrics
- Alerting: Get notified when key metrics degrade or anomalous patterns emerge
- Root Cause Analysis: Investigate failures systematically to understand performance issues