Microsoft.SemanticKernel.Agents.Abstractions 1.17.1-alpha

About Semantic Kernel

Semantic Kernel (SK) is a lightweight SDK enabling integration of AI Large Language Models (LLMs) with conventional programming languages. The SK extensible programming model combines natural language semantic functions, traditional code native functions, and embeddings-based memory unlocking new potential and adding value to applications with AI.

Semantic Kernel incorporates cutting-edge design patterns from the latest in AI research. This enables developers to augment their applications with advanced capabilities, such as prompt engineering, prompt chaining, retrieval-augmented generation, contextual and long-term vectorized memory, embeddings, summarization, zero or few-shot learning, semantic indexing, recursive reasoning, intelligent planning, and access to external knowledge stores and proprietary data.

Getting Started ⚡

Showing the top 20 packages that depend on Microsoft.SemanticKernel.Agents.Abstractions.

Packages
Microsoft.SemanticKernel.Agents.Core
Defines core set of concrete Agent and AgentChat classes, based on the Agent Abstractions.

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