Technical Notes

Engineering notes and benchmark results from the Needl.ai team.

Illustration of a technical note on benchmarking PDF extraction tools with a bar chart, beside a note on context infrastructure

Benchmarking PDF Extraction Tools

Evaluation criteria, scoring functions, and comparative results across 42 extraction libraries and vision–language models, scored against a human-verified golden reference.

Technical Note 01 · June 2026
Product Engineering · Revision 1.0 · 35 min read

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AskNeedl on OfficeQA Pro

Benchmark results on enterprise grounded reasoning: 64.66% correctness at the exact-match threshold over an 89,000-page Treasury Bulletin corpus, in raw PDF format.

Technical Note 02 · July 2026
Product Engineering · 133 questions · 12 min read

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Context Infrastructure

Architecting a high-accuracy, permission-aware retrieval engine for the agentic enterprise — across unstructured documents and structured data, at hundreds of terabytes.

Technical Note 03 · May 2026
Engineering · Version 2.0 · 22 min read

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