RAG-One Rahulg321 · COMPLETED
First RAG App, for a good introduction to building AI driven applications. It is a demo app with some dummy features I will implement using the Vercel AI SDK
github.com/Rahulg321/RAG-One · ★ 0 · Forks 0 · Size 1.2 MB
SUMMARY
Technologies 17
Scored 17
Observed 17
Practices 6
Evidence 18
Skips 0
COVERAGE
Analyzed 115 files · 6 commits · 0 API calls
TECHNOLOGIES & DEPTH
TypeScript LANGUAGE Depth 70
87 files · PRODUCTION
JSON LANGUAGE Depth 70
5 files · PRODUCTION
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
SQL LANGUAGE Depth 70
2 files · PRODUCTION
JavaScript LANGUAGE Depth 70
1 files · PRODUCTION
npm BUILD_TOOL Depth 80
1 files · CONFIGURATION
ESLint QUALITY Depth 69
3 files · CONFIGURATION
Elasticsearch DATABASE Depth 61
1 files · CONFIGURATION
MongoDB DATABASE Depth 61
1 files · CONFIGURATION
Next.js FRAMEWORK Depth 74
10 files · PRODUCTION
PostgreSQL DATABASE Depth 69
2 files · CONFIGURATION
Prisma DATABASE Depth 43
1 files · PRODUCTION
React FRAMEWORK Depth 74
59 files · PRODUCTION, TEST
Redis CACHE Depth 61
1 files · CONFIGURATION
Tailwind CSS LIBRARY Depth 54
1 files · PRODUCTION
Zod LIBRARY Depth 62
2 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2024-12-08
Last commit 2025-01-10
Active months 2
Commits 6