Learning Semantic Kernel Capabilities and Usage with a practical app and demo
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Updated
Jul 20, 2023 - MDX
Learning Semantic Kernel Capabilities and Usage with a practical app and demo
This project serves as an interactive tutorial series showcasing the integration of Azure Durable Functions with Semantic Kernel, enhanced with a Flask CLI frontend. Each part of the series introduces new functionalities, from simple Q&A agents to complex orchestrations, demonstrating the power of combining cloud computing with AI.
Discover a world of stories at your fingertips
Atlas MongoDB connector for Semantic Kernel skills and semantic memory
open-blazorui is a simple ui to run your local LLMs
A cli chatroom for AutoGen agents
Using Semantic Kernel to obtain answer from a PDF document, with embeddings stored in Redis and HuggingFace to create embeddings.
A simple experimental project with sample code for using the Semantic Kernel and Planner to complete a task by invocation of a text completion LLM. Fully commented.
SemanticValidation is a library that integrates OpenAI’s powerful language models with validation systems. It allows you to perform semantic checks on your data and queries using natural language understanding.
Example of integrating OpenAI API via SK nuget into traditional C# applications with function calling
Semantic Kernel demo program using Ollama
Azure for hosting and managing the chatbot infrastructure, and OpenAI for the natural language understanding and generation capabilities.
ChatGPT plugin to query for Ethereum transactions and format for import into accounting software
Build your custom AI Solution integrating Semantic Kernel into your Azure Container Apps.
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