XboxdaviSuzin/TD-SYNNEX-RAG-ai-demo
🤖 Build an advanced RAG chatbot with Azure Databricks, offering streamlined MLOps for enhanced enterprise product intelligence and Q&A capabilities.
What's novel
🤖 Build an advanced RAG chatbot with Azure Databricks, offering streamlined MLOps for enhanced enterprise product intelligence and Q&A capabilities.
Code Analysis
8 files read · 3 roundsA Streamlit-based demo showcasing RAG system architecture with real FAISS/sentence-transformers integration points, but where all AI responses, product recommendations, market analysis, and metrics are hardcoded mock data rather than generated by actual models.
Strengths
Clean code structure with good use of dataclasses, type hints, and factory patterns; real integration scaffolding for FAISS, sentence-transformers, Databricks REST API, and Spark/Delta Lake that would work with proper credentials and data.
Weaknesses
The core 'AI' functionality is entirely mocked — no LLM calls, no real product data, no actual agentic behavior; zero test coverage; significant code duplication across four overlapping Streamlit apps; README makes 'production-grade' claims that the code does not support.
Score Breakdown
Signal breakdown
Innovation
Craft
Traction
Scope
Evidence
Commits
38
Contributors
2
Files
49
Active weeks
3
Repository
Language
Python
Stars
1
Forks
0
License
NOASSERTION