Patterns¶
You're in Step 4 of the Learning Path
You've mastered the core concepts. Now let's apply them with proven workflow patterns that solve real-world problems.
These patterns represent battle-tested approaches to common multi-agent scenarios. Each pattern includes complete working code, use cases, and performance characteristics.
Available Patterns¶
Fan-Out/In¶
Distribute work to parallel agents, then synthesize results. Use for, Research, analysis, brainstorming
Sequential Analysis¶
Build understanding step-by-step through dependent operations. Use for, Document processing, complex reasoning
Conditional Flows¶
Execute different paths based on runtime conditions. Use for, Dynamic workflows, decision trees
ReAct with RAG¶
Combine reasoning with retrieval-augmented generation. Use for, Knowledge-intensive tasks
Tournament Validation¶
Multiple approaches compete, best solution wins. Use for, Quality-critical outputs
Pattern Selection Guide¶
def select_pattern(task):
if task.needs_multiple_perspectives:
return "fan-out-in"
elif task.requires_step_by_step_building:
return "sequential-analysis"
elif task.has_conditional_logic:
return "conditional-flows"
elif task.needs_external_knowledge:
return "react-with-rag"
elif task.requires_best_quality:
return "tournament-validation"
else:
return "simple-branch"
Common Combinations¶
Research Pipeline¶
Document Processing¶
Decision Making¶
Ready for Production Examples?
You've learned the patterns - now see them implemented in complete, production-ready workflows:
Next: Cookbook - Complete working examples you can copy and modify
Or: Advanced Topics - Deep dive into custom operations and optimization