Advanced Topics

Ready to take your DSPy.rb applications to the next level? This section covers advanced patterns and techniques for building sophisticated LLM systems.

Advanced Guides

Memory Systems

Advanced memory management and compaction for stateful agents that need to maintain context over time.

Stateful Agents

Production patterns for building agents that maintain context and state across multiple interactions.

Custom Toolsets

Build advanced toolsets for specialized agent capabilities like database operations, file handling, and API integrations.

Pipelines

Build complex multi-stage processing pipelines that combine multiple modules for sophisticated workflows.

RAG (Retrieval-Augmented Generation)

Implement retrieval-augmented generation patterns to ground your LLM responses in real data.

Complex Types

Work with structured data, nested objects, and complex type hierarchies in your signatures.

Rails Integration

Integrate DSPy.rb seamlessly with Ruby on Rails applications, including enum handling and service patterns.

Custom Metrics

Build domain-specific metrics to evaluate and optimize your modules for your unique use cases.

When to Use Advanced Features

Consider these patterns when:

• Building production systems with multiple processing stages
• Working with large knowledge bases or documents
• Handling complex, structured data
• Optimizing for domain-specific requirements

Best Practices

1. Start simple and add complexity gradually
2. Test each component independently
3. Monitor performance at each stage
4. Use appropriate error handling and fallbacks