Secure Vector RAG &
Private Knowledge Retrieval
Ground your AI in truth, not hallucinations. We build enterprise-grade knowledge bases using pgvector with encrypted retrieval-augmented generation.
Secure Knowledge Base
Enterprise-grade RAG architecture with security at every layer.
Private Vector Database
Self-hosted pgvector or Qdrant.
Encrypted storage at rest.
Isolated data tenants.
Hybrid Retrieval Engine
Semantic + Keyword search.
Context-aware ranking.
Multimodal document support.
Hallucination Guardrails
Truth-grounding validation.
Source citation enforcement.
Confidence-based filtering.
Our Governance Commitment
Every Entesta engagement is underpinned by the same four non-negotiable principles — regardless of the service, industry, or deployment scale.
100%
Data Sovereignty
Zero third-party LLM training. Your data stays in your environment — always.
SOC2 · HIPAA · GDPR
Compliance Ready
Every deployment is architected to satisfy regulated-industry audit requirements from day one.
Append-Only
Forensic Audit Logs
Every AI interaction is logged immutably — full chain-of-reasoning traceability for legal and compliance teams.
24×7
SLA-Backed Support
Post-handover incident response, model monitoring, and adversarial re-testing — on your schedule.
RAG FAQ
Everything you need to know about truth-grounded AI.
Ready to Build Your MVP?
Schedule a free MVP strategy session with our experts and get a personalized roadmap for your product.