Analyze a PDF document with Gemini: extraction and synthesis

1Direct document ingestion: moving past naive chunking

Direct document ingestion allows teams to move past naive chunking limitations. Gemini processes complete multi-page dossiers within its unified context window without losing track of overarching business logic.

Traditional retrieval-augmented generation fragments large files into small text chunks, breaking logical relationships between distant chapters. Gemini ingests up to one million tokens, analyzing body text, tabular appendices, and technical clauses in a single pass. To ensure strict analytical fidelity, prompts must require verbatim quotations tied to verified page numbers.

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2Locating audit liability terms within a 40-page master agreement

Locating audit liability terms within a 40-page master agreement demonstrates how full document ingestion eliminates the risk of missing critical indemnification clauses hidden deep inside appendices.

A corporate legal counsel needs to verify facility inspection obligations across an extensive third-party vendor agreement.

Weak prompt.

What are the audit clauses in the attached PDF contract?

Gemini summarizes standard inspection terms in Article 12 but overlooks specific security restrictions located in Appendix D on page 38.

Strong prompt.

Based strictly on the attached contract PDF, compile an exhaustive inventory of audit compliance terms. For each provision, cite the article heading, the exact page number, and a 20-word verbatim quotation. Note explicitly if an appendix overrides the main agreement.

The difference. Enforcing page citations and appendix verification keeps the model anchored across the entire document, preventing superficial skimming.

3Extract a comparative brief from an official regulatory PDF

Extract a comparative brief from an official regulatory report to practice utilizing Gemini's large context window to cross-reference distant sections without factual omissions.

To practise without handling internal corporate files, here is an excerpt from an annual ESG filing (fictional company NovaTech Ltd), ready to copy or save as novatech_esg_report.txt:

[NovaTech Ltd - 2025 Annual Sustainability and ESG Filing (Exercise Excerpt)]
Section 2 - Environmental Commitments (page 14):
- Scope 1 & 2 Emissions: target reduction of 25% by year-end 2026 compared to 2023 baseline.
- Commercial Transport Fleet: progressive transition of 40% of vehicles to bio-CNG by 2027.
- Packaging Waste Recycling Rate: minimum target set at 85% across all regional hubs.

Appendix C - Audited Performance Metrics (page 52):
- Scope 1 & 2 Emissions: measured decrease of 18% as of 31 December 2025 (pilot hub electrification acceleration).
- Commercial Transport Fleet: 12% converted to bio-CNG as of 31 December 2025 (OEM manufacturing delivery delays).
- Packaging Waste Recycling Rate: 88% annual average achieved across all operational depots.

The composer's "Load exercise" button prepopulates the objective with the weak starting prompt:

"Extract ESG commitments and compare them to actual results with source page numbers."

From this starting point, complete the prompt using the composer: specify the source document, require a structured comparison table with columns "Metric", "Target (Section 2, p. 14)", "Actual (Appendix C, p. 52)", and "Variance". Enable exact citation verification (FActScore, arXiv:2305.14251) to prohibit any numerical hallucination on non-documented metrics.

Self-evaluation rubric: (a) every row cites pages 14 and 52; (b) zero figures are fabricated beyond the excerpt; (c) the fleet delivery delay is accurately captured.

Open the prompt composer