Generative AI Design Patterns provides a catalog of 32 design patterns for building Generative AI applications, serving as the code companion to an O'Reilly book. It offers engineers and researchers structured, example-driven solutions to common GenAI development challenges, from content control and knowledge grounding to agent enablement and reliability. The primary benefit is a practical guide to robust and effective GenAI system design.

How It Works

The project organizes 32 distinct Generative AI design patterns into thematic chapters. These cover content control, knowledge augmentation (RAG variants), capability extension (CoT, ToT, tuning), reliability, agent enablement (tool use), operational constraints (SLMs, caching, optimization), and safeguards. Each pattern details a problem, solution, usage scenarios, and a corresponding code example for practical implementation.

Quick Start & Requirements

This repository serves as a reference for design patterns and their code implementations. No direct installation command for the catalog itself is provided. Users can explore individual pattern examples in the examples/ directory, which likely require standard Python environments and common GenAI libraries. Specific dependencies are not detailed. A link to the companion O'Reilly book is available: https://www.oreilly.com/library/view/generative-ai-design/9798341622654/.

Highlighted Details

• Comprehensive catalog of 32 Generative AI design patterns addressing diverse development needs.
• Patterns span core GenAI functionalities: content manipulation, knowledge grounding, reasoning enhancement, agentic behavior, and reliability/safety.
• Each pattern includes practical, runnable code examples.
• Directly supports the O'Reilly book "Generative AI Design Patterns."
• Facilitates community contribution via PRs for production implementations.

Maintenance & Community

Associated with authors Valliappa Lakshmanan and Hannes Hapke and the O'Reilly book. Community engagement is encouraged via pull requests for users to share production implementations of patterns, documented in USAGE.md files. No specific community channels or roadmap are detailed.

Licensing & Compatibility

The provided README content does not specify a software license. This absence is a significant blocker for evaluating commercial use, derivative works, or compatibility.

Limitations & Caveats

The repository presents design patterns and examples, not a deployable framework. Specific setup instructions and detailed dependency lists for code examples are not explicitly provided. The lack of a specified license is a critical caveat for adoption.