Analytics & Insights
Gain deep insights into how users interact with your AI to continuously improve performance.
2.4M
Total Queries
+23%94.7%
Accuracy Rate
+2.1%1.2s
Avg Response
-0.3s4.8/5
User Satisfaction
+0.2The Challenge
❌ Without Analytics:
- • No visibility into user questions
- • Unknown accuracy or error rates
- • Can't identify knowledge gaps
- • No way to measure improvement
✓ With RAG Engine Analytics:
- • Every query tracked and analyzed
- • Real-time accuracy monitoring
- • Automatic gap detection
- • Clear improvement metrics
How It Works
From raw data to actionable insights
Query Analytics
Track what users are asking, popular topics, and unanswered questions.
Performance Metrics
Monitor response times, accuracy scores, and system health in real-time.
User Satisfaction
Measure CSAT, thumbs up/down feedback, and user engagement rates.
Data Exports
Export analytics data to CSV, connect to BI tools, or use our API.
Use Cases
Optimize Content
Find gaps in your knowledge base from unanswered questions.
Measure ROI
Track deflection rates and cost savings from AI assistance.
Improve Accuracy
Identify and fix low-confidence or incorrect responses.
Executive Reports
Generate stakeholder reports with key metrics and trends.
Comparison
Comprehensive analytics for continuous improvement
| Feature | RAG Engine | LangChain | LlamaIndex | Pinecone |
|---|---|---|---|---|
| Query-level analytics | ✓ | ✗ | ✗ | ~ |
| Real-time dashboards | ✓ | ✗ | ✗ | ✗ |
| User satisfaction tracking | ✓ | ✗ | ✗ | ✗ |
| Custom reports | ✓ | ✗ | ✗ | ~ |
| API access | ✓ | ✓ | ✓ | ✓ |
Works Great With
Ready to Get Started?
Start gaining insights from your AI deployment today.
Get Started Free