AI Stack Components
Explore the core components of the Pragmatic AI Stack - curated tools and libraries for building modern AI applications.
AI Stack Components
Welcome to the comprehensive guide for the Pragmatic AI Stack components. Our carefully curated collection includes the essential tools and libraries you need to build robust, scalable AI applications.
What is the Pragmatic AI Stack?
The Pragmatic AI Stack is a thoughtfully selected set of Python libraries and tools that work seamlessly together to accelerate AI application development. Each component has been chosen for its:
- Production readiness - Battle-tested in real-world applications
- Developer experience - Excellent documentation and community support
- Interoperability - Works well with other stack components
- Performance - Optimized for speed and efficiency
- Maintainability - Active development and long-term support
Core Categories
Our stack is organized into six main categories, each addressing a specific aspect of AI application development:
Web Framework
Modern, fast frameworks for building APIs and web applications that serve as the backbone of your AI systems.
LLM Framework
Comprehensive libraries for working with Large Language Models, building chains, agents, and complex AI workflows.
Data Validation
Type-safe validation and serialization tools that ensure data integrity throughout your application.
Observability
Monitoring and analytics tools specifically designed for AI applications, helping you track performance, costs, and usage.
LLM Gateway
Unified interfaces for working with multiple LLM providers, enabling flexibility and cost optimization.
Database ORM
Robust object-relational mapping tools for managing data persistence and complex database operations.
Getting Started
- Browse Components: Explore each component to understand its role in the stack
- Check Alternatives: Review alternative options for each component category
- Follow Tutorials: Use our step-by-step guides to implement components
- Download Templates: Get started quickly with pre-built project templates
Stack Versions
We maintain versioned releases of the entire stack to ensure compatibility and provide clear upgrade paths. Each version includes:
- Tested component versions
- Compatibility matrices
- Migration guides
- Example implementations
Contributing
Help us improve the Pragmatic AI Stack by:
- Suggesting new components
- Reporting issues with existing guides
- Contributing tutorials and examples
- Sharing your implementation experiences
Ready to dive in? Start exploring the components below or check out our getting started tutorial.