jev-information-extraction

Name: jev-information-extraction
Availability: InStock
Author: abhishekmamdapure

Ask questions about a PDF. Use Jev to rank the source text that answers them. Inspect each match, its probability, and its location on the original page.

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Data & Analytics

intermediate

0 installs

4/5 quality

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Last updated: September 23, 2026

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Quick Start

Install Command

git clone https://github.com/abhishekmamdapure/jev-information-extraction.git

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jev-information-extraction

Ask questions about a PDF. Use Jev to rank the source text that answers them. Inspect each match, its probability, and its location on the original page.

Where Jev makes the decision

Jev returns a structured decision for the local program; consult the source for the exact decision policy.

Why it matters

Adds structured choices or scores to the workflow; performance and cost benefits have not been independently verified.

Claims & evidence

Based on repository metadata and README with rule-based classification; pending human review, with no independent runtime or performance verification.

About Jev

Jev is TypeSafe AI's System One decision model: it returns typed scores and choices (not free text), so agents can route, filter and gate at low latency and cost.

Source: abhishekmamdapure/jev-information-extraction — 2 stars. Listed by Awesome Jev.

jev-information-extraction

AI Skill Market Insights

Quick Start

Install Command

TEAR & SHARE

Tags

dbt Unit Tests (dbt Labs)

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jev-information-extraction

Where Jev makes the decision

Why it matters

Claims & evidence

About Jev

Graph Engineering

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Amplitude Analytics Instrumentation

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