4sales-ai-RAG-Backend David-patrick-chuks · PARTIAL
A production-ready AI Agent API with advanced RAG (Retrieval-Augmented Generation) capabilities, built with Node.js, TypeScript, MongoDB Atlas, Redis, and Google Gemini integration. This API provides intelligent question-answering based on trained knowledge from various sources including documents, websites, YouTube videos, audio, and video files.
github.com/David-patrick-chuks/4sales-ai-RAG-Backend · ★ 7 · Forks 1 · Size 23.3 MB
SUMMARY
Technologies 17
Scored 16
Observed 16
Practices 6
Evidence 18
Skips 1
COVERAGE
Analyzed 58 files · 39 commits · 0 API calls
TECHNOLOGIES & DEPTH
TypeScript LANGUAGE Depth 70
28 files · PRODUCTION
PowerShell LANGUAGE Depth 70
3 files · PRODUCTION
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Shell LANGUAGE Depth 70
5 files · PRODUCTION
JavaScript LANGUAGE Depth 70
5 files · PRODUCTION
JSON LANGUAGE Depth 70
3 files · PRODUCTION
Markdown LANGUAGE Depth 70
5 files · PRODUCTION
YAML LANGUAGE Depth 70
2 files · PRODUCTION
npm BUILD_TOOL Depth 80
1 files · CONFIGURATION
Apache Kafka MESSAGE_BROKER Depth 61
1 files · CONFIGURATION
Axios LIBRARY Depth —
0 files · config only
ESLint QUALITY Depth 65
2 files · CONFIGURATION
Express FRAMEWORK Depth 74
10 files · PRODUCTION
MongoDB DATABASE Depth 93
10 files · CONFIGURATION, PRODUCTION
Morgan OBSERVABILITY Depth 58
1 files · PRODUCTION
RabbitMQ MESSAGE_BROKER Depth 61
1 files · CONFIGURATION
Redis CACHE Depth 93
5 files · CONFIGURATION, PRODUCTION
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · observedlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-06-21
Last commit 2025-08-08
Active months 3
Commits 39