Guide & Getting Started
Begin your journey with EDB Postgres® AI by exploring how to deploy, manage, and build intelligent systems across hybrid environments using Postgres, GenAI workloads, and analytics pipelines.
What do you want to do?
Do you want to run analytical queries on your Postgres data? Check out the EDB Postgres® AI Analytics Accelerator documentation, which covers the Lakehouse engine, Delta Lake, Iceberg, and tiered storage.
Do you want to run GenAI or machine learning models on your data? Explore the EDB Postgres® AI Factory, including tools for automated AI data pipelines, agent workflows, and model orchestration.
Do you want to manage hybrid workloads, self-managed databases, or model endpoints? Visit the EDB Postgres® AI Hybrid Manager, which provides a Kubernetes-native control plane.
Hybrid Manager
Hybrid Manager is the control plane that runs EDB Postgres AI. It provides a unified interface for managing database clusters, AI workloads, and analytics engines in any Kubernetes environment.
Start here
- Overview
- Install on Kubernetes
- Manage Postgres clusters
- Observability and diagnostics
- Sovereign Data and AI Factory System
AI Factory
AI Factory is a low-code environment for building GenAI systems, vector-enabled retrieval, and data-connected agents. It runs either standalone or orchestrated through Hybrid Manager.
Learning paths
- 101 - Core concepts and first assistant
- 201 - Integrating knowledge and external data
- 301 - Scaling, tools, and vector retrieval
Analytics & Pipelines
Analytics Accelerator enables analytics directly in Postgres by leveraging a vectorized query engine and columnar formats like Apache Iceberg® and Delta Lake. With separation of storage and compute and tiered tables that automatically manage hot and cold data, you can run analytical and transactional workloads concurrently without degrading performance
Start here
Use cases
Recommended next steps
| Area | Start here |
|---|---|
| Hybrid Manager | Hybrid Manager overview |
| AI Factory | 101 Learning Path |
| Analytics | Lakehouse overview |
Once you're set up, explore advanced capabilities:
- Deploy sovereign AI solutions using Hybrid Manager
- Serve and monitor GenAI workloads
- Build tiered data lakes with Delta Lake and Iceberg
- Integrate vector pipelines directly into your database
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