Tactical RAG Engine
Context Fusion. Melds 'Cold Storage' (History) with 'Hot Feed' (Live News) to produce intelligence with temporal depth.

The Hybrid-Cognitive Operating System
In finance and intel, pure AI hallucinates while keyword search lacks depth. CortexAI uses a 'Hybrid Cognitive Architecture' combining deterministic rules (Kinetic Triggers) and probabilistic AI (RAG) to balance precision with association.

CortexAI puts kinetic triggers, tactical RAG, entity resolution, and a visual knowledge graph into one intelligence terminal.
Context Fusion. Melds 'Cold Storage' (History) with 'Hot Feed' (Live News) to produce intelligence with temporal depth.
Kinetic Triggers. Hardcoded vocab (e.g., airstrike) overrides AI to ensure map 'red dots' represent real physical conflicts.
3-Layer Matching Funnel: Exact -> Smart Abbr -> Strict Fuzzy (Length Penalty). Optimizes search based on character physics.
Sentiment Separation. Strips emotional keywords to map only substantive entity connections, not market noise.
From cold/hot fusion to kinetic rules, entity funnels, and sentiment stripping, each layer balances precision with association.
Context Fusion: Combines Grok (History) + Vector (Live). Mode Switching: Auto-detects Tactical vs Strategic intent.
Kinetic Triggers: Hardcoded rules (e.g., 'bombing') override AI to force CONFLICT status. Zero false positives.
3-Layer Funnel: Exact -> Abbr -> Fuzzy (Length Penalty). Prevents short queries from matching long generic names.
Sentiment Separation: Code-level stripping of emotion keywords. Maps entity logic, not market sentiment.
The full CortexAI pipeline, from raw signals to a sentiment-free knowledge graph.
Rules (Kinetic) + Probabilities (AI) = Perfect Balance.
Context Fusion. Cold Storage + Hot Feed.
Rules override AI. Hardcoded Kinetic Triggers.
Exact -> Abbr -> Fuzzy. Physics-based search.
Sentiment Separation. Maps logic, not noise.