Skip to content

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

Fan-Out (gather) → Sequential (analyze) → Fan-Out (verify)

Document Processing

Sequential (extract) → Conditional (classify) → Fan-Out (process by type)

Decision Making

Fan-Out (options) → Tournament (evaluate) → Sequential (implement)

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