Semantic Kernel Copilot Demo is an end-to-end reference application illustrating how to build advanced AI agents with Microsoft’s Semantic Kernel framework. The demo features prompt chaining for multi-step reasoning, memory management to recall context across sessions, and a plugin-based skill architecture enabling integration with external APIs or services. Developers can configure connectors for Azure OpenAI or OpenAI models, define custom prompt templates, and implement domain-specific skills such as calendar access, file operations, or data retrieval. The sample shows how to orchestrate these components to create a conversational Copilot capable of understanding user intents, executing tasks, and maintaining context over time, fostering rapid development of personalized AI assistants.

Marqo provides an AI-powered search platform that optimizes search conversion by understanding and interpreting user intent. The platform connects product catalogs and user behavior data to build a personalized search engine model. Marqo replaces manual tagging with automated analysis and delivers highly relevant search results. Its core features include multimodal search, personalized recommendations, and customization based on business goals, making it an effective solution for ecommerce and content search applications.

Kater is an AI-driven customer support agent that automates responses and assists users with queries. It uses machine learning to understand customer intents, delivering personalized interactions and resolving questions efficiently. Kater reduces the workload on human agents by handling routine inquiries and providing 24/7 availability, ensuring that customers receive timely assistance at any hour. Its ability to learn from previous interactions allows it to improve its responses over time, creating a tailored support experience.

LiteLLM is a cutting-edge AI agent that specializes in natural language processing. It assists users by providing intelligent and context-aware responses during conversations, streamlining tasks like summarization, translation, and information retrieval. With its ability to understand user intent and context, LiteLLM enhances productivity and creativity across various applications, making it ideal for businesses in need of automation and effective communication.