Dataset Summarization

Parseable's AI-powered summarization feature simplifies data analysis and debugging by automatically generating concise overviews of your datasets.

How It Works

1. Select any dataset within Parseable
2. Click on Summarize my data to generate a concise overview
3. The AI identifies key patterns, anomalies, and potential faults
4. Receive actionable recommendations and SQL queries to drill deeper

Benefits

• Quick Insights: Gain insights without manually combing through extensive datasets
• Reduced Troubleshooting Time: Pinpoint anomalies and root causes effortlessly
• Simplified Collaboration: Share clear, concise summaries across your team
• Proactive Issue Resolution: Leverage AI-driven recommendations to address issues before they escalate

Example Use Case

When troubleshooting elevated error rates in your logs, the summarization feature can instantly highlight:

• Unusual spikes in errors between specific timestamps
• Affected services and hosts
• Suggested SQL queries to drill down further, such as:

SELECT host, COUNT(*) as error_count
FROM logs
WHERE status='error' AND timestamp BETWEEN '2025-07-20T00:00:00' AND '2025-07-20T06:00:00'
GROUP BY host
ORDER BY error_count DESC;

Configuration

The summarization feature is available out of the box with your Enterprise license. No additional configuration is required beyond setting up your preferred LLM provider in the settings page.