How-to Guides
EDB Postgres® AI (EDB PG AI) enables you to build intelligent applications on your data, in your Postgres estate, and under your governance.
This section provides practical, step-by-step How-to Guides for building AI solutions with EDB PG AI, optimized for Hybrid Manager™ and Postgres workloads.
Start Building
Build Assistants
- How to Build Gen AI Assistants
- Configure Data Lake
- Manage Knowledge Bases
- Hybrid Knowledge Base Best Practices
Serve Models
- Deploy AI Models (NIM Containers)
- Configure ServingRuntime
- Monitor InferenceService
- FAQ and Observability
Pipelines and Document Intelligence
Manage Asset Library
Vector Search with Postgres
Hybrid Manager Integration
Next Steps
You can combine these patterns to build production AI solutions:
- Assistants + Pipelines + Vector Search
- Model Serving + Pipelines + Gen AI
- Postgres + Vector Engine + Gen AI
- Hybrid Manager-deployed Pipelines and Serving
Explore Use Cases and Solutions to see how these capabilities are applied in real-world scenarios.
Start building with EDB PG AI — your data, your models, your intelligence.
Gen AI How-To
Practical guides for configuring and managing Gen AI features in AI Factory — including Assistants, Structures, Tools, Knowledge Bases, and more.
Model Library How-To
Practical guides for configuring and managing the AI Factory Model Library and integrating your private container registries.
Model Serving How-To Guides
Practical guides for deploying, configuring, and managing model serving in AI Factory using KServe.
- On this page
- Start Building
- Next Steps
Could this page be better? Report a problem or suggest an addition!