✅ Network & Model Optimization:
- Fixed Sentence Transformers path to use local model
- Configured real semantic embeddings (384-dimensional)
- Replaced hash-based fallback with AI-powered similarity
✅ Advanced AI Features Integration:
- Added ai_analyzer.py with Groq LLM integration
- Implemented article summarization, sentiment analysis, keyword extraction
- Added AI endpoints: /analyze-article, /generate-insights, /ai-status
✅ API Enhancement & User Experience:
- Enhanced articles endpoint with pagination (offset/limit, metadata)
- Added advanced filtering (date ranges, source, category)
- Improved search with semantic similarity + multi-parameter filters
✅ Production Polish & Performance:
- Implemented in-memory caching system in vector_store.py
- Added rate limiting (100 req/min per IP)
- Enhanced API documentation with deployment guide
- Fixed file structure compliance
System now production-ready with 1000+ articles indexed and full AI capabilities.
Aherobo Ovie Victor