Hybrid-RAG EbiAraz · PARTIAL
Local hybrid retrieval-augmented generation over text files. Documents are chunked, embedded, and stored in MongoDB. Queries are answered with a mix of semantic vector search and BM25 keyword search, then optionally passed to an LLM.
github.com/EbiAraz/Hybrid-RAG · ★ 1 · Forks 0 · Size 39 KB
SUMMARY
Technologies 10
Scored 8
Observed 8
Practices 6
Evidence 11
Skips 2
COVERAGE
Analyzed 20 files · 3 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
12 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
FastAPI FRAMEWORK Depth 58
1 files · PRODUCTION
MongoDB DATABASE Depth 77
4 files · CONFIGURATION
NumPy LIBRARY Depth —
0 files · config only
Pydantic LIBRARY Depth 48
1 files · PRODUCTION
Uvicorn LIBRARY Depth 39
1 files · PRODUCTION
python-dotenv LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · observedlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-09-05
Last commit 2026-09-15
Active months 1
Commits 3