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 and Knowledge Bases
Understand how intelligent knowledge is built on your data:
- Knowledge Bases explained
- Retrievers explained
- Rulesets explained
- Structures explained
- Threads explained
- Tools explained
Data Pipelines and AI Accelerator
Understand how Pipelines transform your AI data workflows:
Vector Search and PGvector
How vector search is embedded directly in Postgres:
Model Serving
How AI models are deployed, governed, and used:
Where to go next:
If you're ready to build:
- Start with a Learning Path
- Follow a How-to Guide
Or explore more advanced solution patterns in Solutions and real-world Use Cases.
This section grows as EDB PG AI evolves — check back for the latest explanations as new capabilities are added.
Concepts
EDB’s vision, strategy, and technologies for delivering AI Factory capabilities in Postgres and Hybrid Manager environments.
Assistants
Understand the role of Assistants in Gen AI Builder and how they power AI-driven conversational applications in EDB PG AI.
Data Lake
Understand the role of the Data Lake in Gen AI Builder and how it supports AI Factory content pipelines.
Generic Concepts
Industry concepts that underpin modern AI workloads, data architectures, and AI Factory capabilities.
Knowledge Bases
Understand what Knowledge Bases are, their role in Gen AI Builder, and how they power AI applications in EDB PG AI.
Model Library
Understand the Model Library in AI Factory, how it works, and how it is powered by the Hybrid Control Plane Image and Model Library.
Model Serving Concepts
Learn how Model Serving in AI Factory delivers scalable, Kubernetes-native model inferencing for intelligent applications and data products.
Model Serving
Understand how Model Serving works in AI Factory, using KServe to provide scalable, production-ready model inference.
Retrievers
Understand the role of Retrievers in Gen AI Builder and how they power Retrieval-Augmented Generation (RAG) and semantic search.
Rulesets
Understand the role of Rulesets in Gen AI Builder and how they guide the behavior of Assistants and Structures.
Sovereign AI
Understand Sovereign AI and how EDB Postgres AI enables trusted, governed AI solutions — with your data, in your control.
Structures
Understand the role of Structures in Gen AI Builder and how they enable advanced AI workflows, tooling, and data transformations.
Terminology
Definitions of key concepts, technologies, and architecture patterns used in AI Factory and Hybrid Manager AI Factory.
Threads
Understand the role of Threads in Gen AI Builder and how they provide conversation history, state persistence, and insights into Assistant behavior.
Tools
Understand the role of Tools in Gen AI Builder and how they extend the capabilities of Assistants and Structures.
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