pdf navid72m · PARTIAL
🔍 AI-Powered Document Intelligence System | Retrieval-Augmented Generation (RAG) Advanced document processing platform that combines semantic embedding, intelligent retrieval, and generative AI to transform how you interact with documents. Extract insights, answer complex queries, and unlock knowledge across multiple document formats.
github.com/navid72m/pdf · ★ 22 · Forks 7 · Size 466 KB
SUMMARY
Technologies 13
Scored 12
Observed 12
Practices 6
Evidence 14
Skips 1
COVERAGE
Analyzed 47 files · 113 commits · 0 API calls
TECHNOLOGIES & DEPTH
JSON LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
TOML LANGUAGE Depth 70
2 files · PRODUCTION
YAML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
35 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
FastAPI FRAMEWORK Depth 66
2 files · PRODUCTION
NumPy LIBRARY Depth 85
5 files · PRODUCTION, TEST
Pydantic LIBRARY Depth 58
1 files · PRODUCTION
Requests LIBRARY Depth 62
2 files · PRODUCTION
Uvicorn LIBRARY Depth 58
1 files · PRODUCTION
pytest TESTING Depth 37
1 files · TEST
python-dotenv LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2024-05-24
Last commit 2025-03-17
Active months 4
Commits 113