Gen AI Builder Hub

Gen AI Builder is the developer-facing environment of AI Factory, designed to help you build advanced agentic AI applications on trusted data and governed infrastructure.

Builder gives you fine-grained control over Knowledge Bases, Retrievers, Rulesets, Structures, and Tools — letting you compose AI-powered applications that integrate deeply with your business context.

Gen AI Builder is the foundation for building Sovereign AI agents and data-powered AI workflows in AI Factory.


Core Capabilities

  • Manage Knowledge Bases and power RAG-based experiences
  • Create and manage Retrievers for optimized semantic and structured search
  • Define Rulesets to control assistant tone, behavior, and compliance
  • Build and deploy Tools to extend agent capabilities with API calls, calculations, and more
  • Package and run Structures — complex Griptape-powered workflows and data pipelines
  • Monitor and analyze Threads — conversation history and system behavior

Learning Paths

Start here to learn Builder step-by-step:


Concepts and Explained


How-To Guides


Reference



When to use Gen AI Builder

Use Gen AI Builder when:

  • You need fine-grained control of what your assistants retrieve and how they behave.
  • You want to integrate structured and unstructured data into your agents.
  • You need to build trusted, compliant, production-grade agents — not simple chatbot demos.
  • You want to extend agents with Tools that connect to your real-world systems.
  • You are building multi-step AI pipelines and workflows using Structures.

AI Factory Gen AI Builder gives you the tools to build advanced, extensible, enterprise-ready AI applications — entirely under your governance and with full visibility.


Working with Data Lake in Gen AI Builder

Understand what the Data Lake is in Gen AI Builder, why it matters, and how it fits into the AI Factory content pipeline.

Managing Data with Libraries in Gen AI Builder

Understand what Libraries are in Gen AI Builder, why they matter, and how they power AI applications through Data Sources, Knowledge Bases, and Retrievers.


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