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Evaluate Summary and Entity Extraction

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: Document AI: Summarize & Extract from Enterprise Content

Format
Text-first
Lines
1
Sections
1
Linked challenge
Document AI: Summarize & Extract from Enterprise Content

Prompt source

Original prompt text with formatting preserved for inspection.

1 lines
1 sections
No variables
0 checklist items
Run the provided `DocumentSummarization` and `EntityExtractionAndKnowledgeGraphQuery` evaluation tasks against your implemented system. Analyze the results reported by LangFuse and the evaluation harness. Identify areas for improvement in your RAG strategy, chunking, or prompt engineering for Gemini 2.5 Pro. Describe how you would iterate on your solution to improve factual accuracy and query recall based on the evaluation metrics.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Preserve the rubric, target behavior, and pass-fail criteria as the baseline for evaluation.

Tune next

Adjust fixtures, mocks, and thresholds to the system under test instead of weakening the assertions.

Verify after

Make sure the prompt catches regressions instead of just mirroring the happy-path examples.