Graph-RAG-Engine AmirhosseinHonardoust · PARTIAL
An explainable AI system that combines Graph Intelligence, Vector Search, and Retrieval-Augmented Generation (RAG) to deliver grounded answers and transparent reasoning paths. Includes a FastAPI backend, Streamlit UI, FAISS vector index, and an in-memory knowledge graph for hybrid retrieval and recommendations.
github.com/AmirhosseinHonardoust/Graph-RAG-Engine · ★ 25 · Forks 2 · Size 341 KB
SUMMARY
Technologies 17
Scored 12
Observed 12
Practices 6
Evidence 18
Skips 5
COVERAGE
Analyzed 57 files · 38 commits · 0 API calls
TECHNOLOGIES & DEPTH
JSON LANGUAGE Depth 70
2 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
20 files · PRODUCTION
YAML LANGUAGE Depth 70
2 files · PRODUCTION
Python LANGUAGE Depth 70
28 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
Black QUALITY Depth —
0 files · config only
FastAPI FRAMEWORK Depth 66
2 files · PRODUCTION, TEST
NumPy LIBRARY Depth 77
4 files · PRODUCTION, TEST
Pydantic LIBRARY Depth 55
1 files · PRODUCTION
Requests LIBRARY Depth 58
1 files · PRODUCTION
Ruff QUALITY Depth —
0 files · config only
Uvicorn LIBRARY Depth 36
1 files · PRODUCTION
mypy QUALITY Depth —
0 files · config only
orjson LIBRARY Depth —
0 files · config only
pandas LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-11-01
Last commit 2026-08-21
Active months 3
Commits 38