AI Factory Explained

Welcome to AI Factory Explained — your deep dive into the architecture, concepts, and components of EDB Postgres® AI (EDB PG AI).

EDB PG AI enables Sovereign AI — building intelligent applications and data products on top of your data, in your databases and data centers, with Postgres as the foundation. The platform integrates vector search, Pipelines, Gen AI Builder, Knowledge Bases, and Model Serving to give you complete control over how AI is embedded in your systems.

This section explains how it all works:

• What key concepts underlie EDB PG AI

• How the architecture fits together

• How individual capabilities like Pipelines, Gen AI Builder, and Model Serving work

• Where vector search and AI models fit within your Postgres estate

Core Concepts

Start here to get oriented to the platform:

• Gen AI Builder Concepts (Assistants, Knowledge, Tools, Threads)

• AI Factory terminology

• Fundamental AI Concepts

Gen AI and Knowledge Bases

Understand how intelligent knowledge is built on your data:

• Knowledge Bases Reference Manual

• Retrievers Reference Manual

• Rulesets Manual

• Structures Reference Manual

• Threads Reference Manual

• Tools Reference Manual

Data Pipelines and AI Accelerator

Understand how Pipelines transform your AI data workflows:

• AI Accelerator Pipelines overview

• Data Lake Reference Manual

Vector Search and PGvector

How vector search is embedded directly in Postgres:

• PGvector and Vector Engine concepts

Model Serving

How AI models are deployed, governed, and used:

• Model Serving Concepts

• Model Library Explained In Depth

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Where to go next:

If you’re ready to build:

• Start with a Learning Paths

• Follow a Gen AI How-To Guides

Or explore more advanced solution patterns in Industry Solutions with AI Factory and real-world AI Factory Use Cases .

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This section grows as EDB PG AI evolves — check back for the latest explanations as new capabilities are added.

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