RAGDojo svngoku · PARTIAL
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
github.com/svngoku/RAGDojo · ★ 0 · Forks 0 · Size 3.3 MB
SUMMARY
Technologies 20
Scored 10
Observed 10
Practices 6
Evidence 21
Skips 10
COVERAGE
Analyzed 93 files · 267 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
2 files · PRODUCTION
YAML LANGUAGE Depth 70
3 files · PRODUCTION
Python LANGUAGE Depth 70
22 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
AWS SDK CLOUD Depth —
0 files · config only
Click LIBRARY Depth —
0 files · config only
HTTPX LIBRARY Depth —
0 files · config only
Jinja2 LIBRARY Depth —
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MarkupSafe LIBRARY Depth —
0 files · config only
NumPy LIBRARY Depth 70
4 files · PRODUCTION
Pydantic LIBRARY Depth 66
3 files · PRODUCTION
RabbitMQ MESSAGE_BROKER Depth 69
2 files · CONFIGURATION
Requests LIBRARY Depth —
0 files · config only
SQLAlchemy LIBRARY Depth —
0 files · config only
TypeScript LANGUAGE Depth 58
1 files · PRODUCTION
orjson LIBRARY Depth —
0 files · config only
pandas LIBRARY Depth 58
1 files · PRODUCTION
pytest TESTING Depth 62
2 files · PRODUCTION, TEST
python-dotenv LIBRARY Depth —
0 files · config only
typing_extensions LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2024-07-13
Last commit 2024-10-07
Active months 4
Commits 267