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Advanced Agent Patterns: Complex Multi-Agent Systems
Choose the right execution pattern based on task complexity and agent capabilities.
Patterns
19 articles
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Function Calling Patterns: Building Reliable AI Tools
Well-designed function calling creates powerful AI applications that interact safely with real systems.
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RAG Advanced Patterns: Beyond Basic Retrieval
Advanced RAG combines query expansion, hybrid retrieval, reranking, and context compression for better results.
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Fabric Adoption Patterns: Lessons from Enterprise Implementations
Success with Fabric comes from treating it as a platform transformation, not just a technology deployment. Invest in people, process, and governance…
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Multi-Step Reasoning Patterns with o1
Multi-step reasoning is o1's superpower. Use these patterns to unlock its full potential.
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File Handling in AI Agents
AI agents often need to work with files - reading documents, processing data, generating outputs. Today I'm exploring safe and effective file handling patterns.
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Tool Use Patterns for AI Agents
Tools extend what AI agents can do beyond text generation. Today I'm exploring patterns for effective tool use in production agents.
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Agent Orchestration Patterns for Production
Building single agents is one thing. Orchestrating multiple agents for complex workflows is another. Today I'm exploring production-ready orchestration…
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Retry Strategies for AI Applications
Azure OpenAI rate limits in mid-2023 are set per deployment per region, and hitting them is a normal operating condition rather than an exceptional one for…
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Azure OpenAI Function Calling Patterns: Building Intelligent Agents
Function calling patterns enable sophisticated AI agents. Tomorrow, I will cover building AI agents in more depth.
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Building LLM Applications with Azure OpenAI: Patterns and Practices
When building applications with GPT 3 and other LLMs, you need to think about: Prompt design and management Chaining multiple LLM calls Testing and…
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Graph Traversal Patterns in Azure Cosmos DB
Exploring the local neighborhood of a vertex is one of the most common operations in graph databases.
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Device Twin Patterns for IoT Applications
Device twins provide the foundation for managing device state, configuration, and organization in IoT solutions.
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Pattern Matching in Streaming Data: Detecting Complex Events
Pattern matching in streaming data enables: Sequence detection Anomaly identification Business rule enforcement Fraud detection Predictive maintenance Azure…
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Long Polling: Real-Time Patterns for Legacy Systems
Long polling is the workaround for near-real-time notifications in environments where WebSocket connections aren't available—the client sends an HTTP…
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Secrets Management Patterns: Best Practices for Azure
Category Example Recommended Approach Azure Services Storage, SQL Managed Identity External APIs Third party APIs Key Vault Certificates TLS, Auth Key Vault…
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Background Processing Patterns in Azure
Use queues to handle variable load: Scale processing with multiple consumers: Process high priority items first: Coordinate long running business processes:…
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CQRS Pattern Implementation with Azure Services
CQRS with Azure services enables building highly scalable applications with optimized read and write paths. Azure SQL provides transactional guarantees for…