2 min read
Semantic Kernel: Building Production AI Agents
After building agents with LangChain, AutoGen, and custom solutions, I finally gave Semantic Kernel a proper try. Here's what I learned building production…
Semantic Kernel
20 articles
1 min read
Building a Personal AI Assistant with Semantic Kernel
This foundation can be extended with calendar integration, email access, and more plugins. Perfect for a holiday coding project!
1 min read
Migrating from LangChain to Semantic Kernel: A Practical Guide
Many teams that started with LangChain in 2024 are now evaluating Semantic Kernel for its tighter Azure integration and production-ready features. Having…
1 min read
Semantic Kernel: Orchestrating AI Agents with Plugins and Planners
Semantic Kernel abstracts the complexity of working with multiple AI services while providing extensibility through plugins. This allows developers to…
1 min read
Semantic Kernel: Building AI Orchestration with .NET
Semantic Kernel provides a clean abstraction for building AI-powered features while maintaining flexibility to switch between different LLM providers.
1 min read
Building Multi-Agent Systems with Semantic Kernel
Define clear responsibilities for each agent to avoid confusion and improve reliability. Multi-agent architectures excel at complex workflows where…
1 min read
Semantic Kernel Filters: Intercepting and Modifying AI Operations
Semantic Kernel supports several filter types: function invocation filters, prompt render filters, and auto function invocation filters. Each intercepts…
1 min read
Building AI Agents with Semantic Kernel Planners
Planners analyze a user's goal and create an execution plan using available plugins. The Handlebars planner generates a template-based plan, while function…
1 min read
Semantic Kernel Memory: Building Persistent AI Context
Use retrieved memories to enrich the system prompt or provide context for the AI. This enables personalized responses without requiring the user to repeat…
1 min read
Implementing Semantic Kernel Plugins for Enterprise Applications
Native plugins expose C# methods to the kernel, allowing the LLM to invoke them when appropriate.
1 min read
Getting Started with Semantic Kernel 2.x: A Practical Introduction
Semantic Kernel is an SDK that integrates Large Language Models (LLMs) with conventional programming languages. Version 2.x introduces a more streamlined…
1 min read
Semantic Kernel v2: Building Composable AI Applications in C#
Semantic Kernel v2 brings enterprise-grade patterns to AI development, making it easier to build maintainable, testable AI applications.
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Semantic Kernel 2.0: Major Updates and New Features
Semantic Kernel 2.0 provides enterprise-ready AI orchestration with improved developer experience.
1 min read
LangChain vs Semantic Kernel: Choosing Your AI Framework
Choose based on your ecosystem and team skills.
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Semantic Kernel Patterns: Building AI Applications with Microsoft's SDK
Semantic Kernel provides a clean abstraction for building AI applications with plugins and natural language orchestration.
1 min read
Semantic Kernel: Building AI-Powered Applications with .NET
Learn how to use Microsoft's Semantic Kernel SDK to build intelligent applications that leverage GPT-4 and Azure OpenAI Service.
1 min read
Semantic Kernel Memory: Building AI with Long-Term Context
1. Organize into collections : Separate by topic/domain 2. Use meaningful IDs : Enable updates and deletions 3. Set appropriate relevance thresholds : Too…
1 min read
Semantic Kernel Planners: Automatic AI Orchestration
Creates multi step plans: Selects the single best action: Iteratively reasons through complex problems: 1. Register clear skill descriptions : Planners rely…
1 min read
Semantic Kernel Plugins: Extending AI with Custom Skills
1. Single responsibility : Each plugin should do one thing well 2. Clear descriptions : Help planners understand what functions do 3. Validate inputs :…
1 min read
Semantic Kernel Introduction: Microsoft's AI Orchestration SDK
Define AI functions using natural language prompts: Create reusable prompts: Add Python functions as skills: Combine functions into pipelines: Store and…