llm-engineering-practice abieth · COMPLETED
LLM Engineering practice with Groq API, prompt engineering, LangChain, RAG, Embeddings, ChromaDB, FastAPI, GitHub REST APIs, GitHub Webhooks, Background Tasks, SQLite, SQLAlchemy, and modern AI application development using Python.
github.com/abieth/llm-engineering-practice · ★ 1 · Forks 0 · Size 222 KB
SUMMARY
Technologies 7
Scored 7
Observed 7
Practices 6
Evidence 7
Skips 0
COVERAGE
Analyzed 64 files · 41 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
5 files · PRODUCTION
Python LANGUAGE Depth 70
50 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
FastAPI FRAMEWORK Depth 74
6 files · PRODUCTION
Redis CACHE Depth 50
1 files · CONFIGURATION
Requests LIBRARY Depth 66
3 files · PRODUCTION
SQLAlchemy LIBRARY Depth 54
2 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-06-08
Last commit 2026-07-02
Active months 2
Commits 41