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.