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salikhussain71-code/PAKGOV-RAG-project

Research project on bilingual Urdu-English retrieval-augmented generation for Pakistani government and legal documents, with OCR, hybrid… Why it matters: relevant for grounding LLMs in your own data.

GitHub description: Research project on bilingual Urdu-English retrieval-augmented generation for Pakistani government and legal documents, with OCR, hybrid retrieval, citation grounding, and evaluation.

Stars

128

Last 24h

+0

Last 7 days

+128est.

Forks

4

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Star history

GitHub stars over time. A steeper line means the repo is gaining attention faster.

Daily, since Oct 18, 2026 · 68 → 128

Daily star count for salikhussain71-code/PAKGOV-RAG-project12868Oct 18, 2026Oct 20, 2026

* / est. Estimated: until we have enough daily snapshots for a repo, its gain is total stars ÷ days since creation. Measured numbers replace estimates automatically.

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About PAKGOV-RAG-project

salikhussain71-code/PAKGOV-RAG-project is a Python project in the RAG / vector category, created 33 days ago. It has 128 GitHub stars and 4 forks, and gained +128 stars over the last 7 days (early estimate), ranking #8 of 9 RAG / vector repos tracked by OSS Radar this week.

See more trending RAG / vector repos or the top AI repos this week. Looking for something similar? See PAKGOV-RAG-project alternatives.

Language
Python
Category
RAG / vector
Created
Sep 17, 2026
Last code push
2 days ago (Oct 17, 2026)
Latest release
No releases yet
  • artificial intelligence
  • information retrieval
  • legal nlp
  • low resource languages
  • nlp
  • ocr
  • RAG
  • retrieval augmented generation
  • transformers
  • urdu nlp

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salikhussain71-code/PAKGOV-RAG-project is #439 of 450 on today's leaderboard.