Technology
Retrieval-Centric GenAI (rGENAI)
Retrieval-first reasoning over evolving knowledge systems.
🔍
Retrieval
Semantic search & vector databases
📝
Citations
Source attribution & traceability
🔐
Access Control
RBAC & tenant isolation
Production-grade retrieval-centric GenAI that reasons over large, changing knowledge bases with citations, confidence awareness, and controllable behavior — engineered for deployment, not demos.
- Citations & source traceability
- Confidence-aware responses & safe fallbacks
- Access-aware retrieval (RBAC-ready)
- Evaluation-driven tuning and monitoring
A minimal, governable architecture: signals → retrieval/orchestration → reasoning → outputs — with evaluation, security, and auditability built in.
Signals & Data ↓ Retrieval / Routing ↓ Reasoning / Agents ↓ Outputs (Insights / Actions) ↓ Eval + Audit + Policy
Continuous measurement and monitoring:
🎯
Retrieval Accuracy
94.2%
⚡
Avg Latency
<150ms
📊
Citation Coverage
99.1%
🔄
Uptime
99.95%
Enterprise-grade security and compliance:
- ✓RBAC and tenant isolation
- ✓Audit logs and traceability
- ✓Prompt injection hardening
- ✓Deterministic fallbacks
Production-Ready
Vector DB
Optimized
Hybrid Search
Enabled
RBAC
Enterprise-Grade