Gen AI in Hybrid Manager

Gen AI in Hybrid Manager#

Hybrid Manager enables production-grade deployment of Gen AI capabilities through its AI Factory workload — delivering Sovereign AI solutions that integrate deeply with your Postgres data, AI pipelines, and enterprise architecture.

Hybrid Manager’s Kubernetes-native foundation, combined with AI Factory, allows you to build advanced agentic AI applications that operate on trusted data, run within governed infrastructure, and connect seamlessly to Postgres.

This page explains how Gen AI workloads operate in Hybrid Manager and how they fit within the broader EDB Postgres AI (PG AI) ecosystem.

For an architectural deep dive and full feature reference, start with the Gen AI Hub .

Core components#

Agent Studio#

  • A low-code / no-code interface for building and managing AI Assistants.

  • Enables business teams, content owners, and developers to collaborate.

  • Supports configuration of:

  • LLM models (served via Model Serving)

  • Knowledge Bases

  • Rulesets and governance policies

  • Tools for system integration

  • Memory settings for context persistence

See: Agent Studio in Hybrid Manager .

Gen AI Builder#

  • A code-driven agent development environment, ideal for advanced AI developers.

  • Supports creation of:

  • Complex multi-agent workflows

  • Tool-chaining and API orchestration

  • Custom agent logic beyond basic chat

  • Builders can leverage:

  • Model Serving endpoints (KServe InferenceService)

  • Knowledge Bases for Retrieval-Augmented Generation (RAG)

  • Tools and Structures defined within the project

  • Postgres-based data sources via AIDB and Vector Engine

See: Gen AI Builder in Hybrid Manager .

Hybrid Manager-specific considerations#

  • All Gen AI workloads run inside the Hybrid Manager project’s Kubernetes cluster.

  • Models served via Model Serving are secured with project-level controls.

  • Knowledge Bases and Pipelines operate within the project’s storage and data governance boundaries.

  • Observability for all Gen AI activity is integrated with Hybrid Manager monitoring:

  • Inference metrics

  • Assistant usage

  • Pipeline health

  • GPU resource utilization

  • Hybrid Manager enables Sovereign AI:

  • Your data stays in your project.

  • Your models run on your infrastructure.

  • All AI pipelines and outputs are auditable and observable.

See: Sovereign AI explained .

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