VectifyAI/jev-doc-search
About the project
Long-document search that uses Jev's multiple-choice model to pick the most likely page answering a question, with PageIndex building a hierarchical tree so it scales past token and option limits without a vector DB.
Useful for
- Find the page answering a question in a 300-page PDF report
- Search a long document by navigating its section tree level by level
- Run page search on a short PDF like an employee handbook
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Star growth looks organic. Data as of October 3, 2026, 08:10 UTC.
The star-growth assessment does not verify whether the project is safe to run.
Stars per day
Bars show daily stars; the line is a moving average of the available history. Short histories do not yet establish a reliable usual pace. Red marks spike days.
Why it’s trending
- 4 stars so far today, about 30 expected by the end of the day.
- The spike has held for 2 days in a row — not a one-off blip.
- The repository is 3 days old and already has 59 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #194.
Three GitHub discoveries in each edition
What they do, why they are gaining interest, and what to check before using them.
Editions at 10:00, 16:00, 22:00 MSK.
Numbers
- Total stars
- 59
- Today
- 4 · ≈ 30 by evening
- Forks
- 0
- Issues and pull requests
- 3
- Watchers
- 1
- Language
- Python
- License
- Apache-2.0
- Created
- September 30, 2026
- Last push
- October 2, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- October 3, 2026Top new repositories this week: #194