Key Highlights

• Five chunking strategies to compare retrieval coverage and context preservation.
• Evidence-aware answer generation with source URL traceability.
• Confidence-triggered CRAG flow when first-pass retrieval is weak.

Key Highlights

• PySpark-first preprocessing flow with reusable train/test artifacts.
• MLflow tracking for metrics, parameters, artifacts, and model versions.
• Streaming-style inference telemetry to surface latency and batch behavior.

Key Highlights

• Weekly trait-direction prediction for all Big Five dimensions.
• Cold-start inference path for new users with raw Reddit activity only.
• Background job execution decoupled from user-facing request latency.

Key Highlights

• Five-route guarded router for direct, RAG, memory, web-search, or reject decisions.
• Hybrid memory design with short-term turns and distilled long-term facts.
• CAG semantic cache plus weak-context corrective search.