RAG-Assistant mohcodes01 · COMPLETED
Built a Retrieval-Augmented Generation (RAG) Assistant that combines semantic search with LLMs to provide accurate, context-aware responses from custom knowledge bases. Features document ingestion, vector search, and conversational Q&A with source-aware answers.
github.com/mohcodes01/RAG-Assistant · ★ 15 · Forks 0 · Size 38.4 MB
SUMMARY
Technologies 5
Scored 5
Observed 5
Practices 6
Evidence 6
Skips 0
COVERAGE
Analyzed 12 files · 9 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
2 files · PRODUCTION
uv BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-02-26
Last commit 2026-07-10
Active months 3
Commits 9