Sovereign AI Explained v1.2
Sovereign AI Explained
Sovereign AI is a core principle of EDB Postgres® AI (EDB PG AI): Giving you full control over your data, models, and AI stack — with auditability, security, and trust built in.
Rather than relying on opaque cloud APIs and external data flows, Sovereign AI ensures that your intellectual property, business data, and AI-driven applications stay under your governance — and run on infrastructure you control.
Why it matters
AI is transforming how organizations interact with data and deliver new experiences. But with AI adoption comes real risks:
- Many public AI APIs are black boxes — you lose control over how your data is used.
 - AI embeddings and vectors often become orphaned in third-party systems.
 - Sensitive data may leave compliance boundaries — creating regulatory risk.
 - AI results may be non-auditable, raising concerns in regulated industries.
 - Application traceability and explainability are often missing.
 
Sovereign AI answers these challenges:
- Own your data and embeddings — stored in Postgres and your object storage.
 - Own your models and AI stack — served through Pipelines and Model Serving.
 - Own your Knowledge Bases — fully governable, versioned, and auditable.
 - Own your AI workloads — running in Kubernetes environments you control.
 - Own your Assistant behavior — defined, governed, and observable in Agent Studio.
 
What is Sovereign AI?
Sovereign AI is an architecture and operating model where:
- Data stays inside your trust boundaries.
 - AI pipelines are fully transparent and auditable.
 - Model serving happens on infrastructure you manage.
 - Embeddings are stored where you control them (Postgres, object storage).
 - Assistant behavior is governed and versioned.
 - APIs exposed to your users are secured and observable.
 - You can choose whether and how external APIs are involved — no hidden dependencies.
 
Sovereign AI is a spectrum — not an all-or-nothing choice:
- Some organizations will want fully self-managed, zero external API architectures.
 - Others will use hybrid models — private Knowledge Bases + public LLMs, carefully governed.
 - EDB PG AI supports this full spectrum — and ensures you are never locked into an external stack.
 
How EDB PG AI enables Sovereign AI
EDB PG AI is designed from the ground up for Sovereign AI:
- Data-first architecture — Knowledge starts in your databases and object storage.
 - Vector Engine — Your embeddings live in Postgres or controlled storage.
 - Pipelines — You control every step of the data-to-embedding-to-query pipeline.
 - Model Serving — Models run on your Kubernetes infrastructure, under your governance.
 - Agent Studio — Rulesets, Tools, Structures, and Assistants are all governed assets.
 - Observability — Full audit trails and monitoring of model and Assistant activity.
 
Key components:
- Vector Engine — Vector search in your Postgres clusters.
 - Pipelines — Controlled creation of Knowledge Bases and embeddings.
 - Model Serving — Kubernetes-native, GPU-accelerated model inference.
 - Agent Studio — Governed Assistant and Tool development.
 
You can also selectively integrate external LLM APIs — but with full visibility and choice.
Why Hybrid Manager?
Today, EDB PG AI’s strongest Sovereign AI model is delivered with Hybrid Manager™ (EDB):
See: Hybrid Manager Gen AI Workloads
Hybrid Manager provides the architecture to:
- Deploy Pipelines and Model Serving on EDB-optimized Kubernetes.
 - Manage Knowledge Bases with full lifecycle control.
 - Monitor and trace all AI activity — at the database, Pipeline, and Assistant levels.
 - Govern model deployment, image provenance, and retriever configurations.
 - Enable secure API access to Assistants and semantic search.
 - Implement fine-grained data residency and trust boundaries.
 
Full stack control — from your Postgres database → embeddings → Pipelines → model inference → Assistants and APIs — all observable and auditable.
Summary
- Sovereign AI is about trust, transparency, and control.
 - EDB PG AI gives you a complete stack to implement Sovereign AI — with no lock-in.
 - You choose how open or closed your AI architecture is — but you never lose control of your data.
 - Hybrid Manager provides a production-proven platform for deploying trusted, governed AI in the enterprise.
 
Learn more
- On this page
 - Sovereign AI Explained