Build AI Programs with DSPy

This section contains hands-on tutorials that guide you through building production-ready AI applications using DSPy. Each tutorial demonstrates practical use cases and shows you how to leverage DSPy's modular programming approach to create robust, maintainable AI systems.

Core Applications

Building AI Agents with DSPy

Learn to create intelligent agents that can handle complex customer service scenarios. This tutorial shows how to build agents that can understand context, maintain conversation state, and provide helpful responses.

Building AI Applications by Customizing DSPy Modules

Discover how to create custom DSPy modules tailored to your specific needs. Learn the patterns for building reusable, composable components that can be shared across different applications.

Retrieval-Augmented Generation (RAG)

Master the fundamentals of RAG systems with DSPy. Learn how to combine retrieval mechanisms with language models to build systems that can answer questions using external knowledge sources.

Building RAG as Agent

Take RAG to the next level by building ReAct agent-based systems that can reason about when and how to retrieve information, making your RAG systems more intelligent and adaptive.

Multi-Hop RAG

Build sophisticated RAG systems that can perform multi-step reasoning across multiple information sources, perfect for complex research and analysis tasks.

Specialized Use Cases

Entity Extraction

Learn to build systems that can identify and extract specific entities from text, essential for information processing and data analysis applications.

Classification

Build robust text classification systems using DSPy's modular approach with a topic classification example.

Privacy-Conscious Delegation

Explore advanced techniques for building AI systems that respect privacy constraints while maintaining high performance by combining a small local model and an advanced external model.

Advanced Reasoning

Program Of Thought

Learn to build systems that can generate and execute code to solve complex problems, combining the power of language models with programmatic reasoning.

Multimodal Applications

Image Generation Prompt iteration

Discover how to use DSPy to iteratively improve image generation prompts, creating better visual content through systematic optimization.

Audio

Explore audio processing applications with DSPy, learning to build systems that can understand, process, and generate audio content.