MongoDB-RAG-Agent coleam00 · PARTIAL
Hybrid RAG AI Agent built with MongoDB, Pydantic AI, and Docling - combines semantic and text search with reciprocal rank fusion.
github.com/coleam00/MongoDB-RAG-Agent · ★ 116 · Forks 62 · Size 3.1 MB
SUMMARY
Technologies 8
Scored 7
Observed 7
Practices 6
Evidence 9
Skips 1
COVERAGE
Analyzed 86 files · 5 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
35 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
36 files · PRODUCTION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
MongoDB DATABASE Depth 73
3 files · CONFIGURATION
PostgreSQL DATABASE Depth 89
4 files · CONFIGURATION, PRODUCTION
Pydantic LIBRARY Depth 78
6 files · PRODUCTION
python-dotenv LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-12-03
Last commit 2025-12-05
Active months 1
Commits 5