3,603 tools found
Semantic Kernel Python concept samples covering speech-to-text, text-to-speech, and audio I/O in chat agents.
Semantic Kernel caching reduces LLM response latency and API costs by storing and reusing semantically similar query results.
11 Semantic Kernel Python chatbot samples covering streaming, logit bias, image input, and history reduction/truncation strategies.
Semantic Kernel chat history management with serialization, CosmosDB storage, summarization, truncation, and reducer capabilities for conversational AI
Semantic Kernel embedding skill generates text embeddings using Python connectors for semantic search, similarity matching, and vector-based AI applications.
6 Semantic Kernel samples for request/response filtering, content moderation, function invocation hooks, and retry logic.
Semantic Kernel Functions demonstrates defining and invoking native functions, prompt functions, and plugins with kernel arguments for extensible AI assistants.
Semantic Kernel grounding skill connects LLM outputs to factual context and knowledge sources, reducing hallucination and improving accuracy in AI responses.
Semantic Kernel skill providing image generation and vision capabilities through Python examples demonstrating prompt-based and direct image generation
7 Semantic Kernel samples for running local LLMs via Foundry Local, LM Studio, Ollama, and ONNX (including Phi-3 vision).
8 Semantic Kernel samples for MCP integration: connecting agents to MCP servers as plugins, over HTTP, and with Azure AI Agents.
Semantic Kernel memory and vector store integration examples demonstrating simple and complex memory patterns, data models, and Pandas integration for Python
