Jordan Bean explores how to visualize Semantic Kernel & Azure OpenAI plans using Mermaid. Using the function calling ability of Semantic Kernel/OpenAI is very exciting from an application development point of view. Instead of hard-coding paths though the system, Semantic Kernel & OpenAI can decide for themselves what plugins to call,...
In this multi-part series, Jordan Bean shares how to enhance a chatbot to retrieve data from multiple data sources and orchestrate plans with C# Semantic Kernel, planner, and Azure Open AI. In the previous post, I detailed how the demo app runs. In this post, let’s talk about some of the techniques & technologies I used to make the demo ...
In this multi-part series, Jordan Bean shares how to enhance a chatbot to retrieve data from multiple data sources and orchestrate plans with C# Semantic Kernel, planner, and Azure Open AI. In the previous post, we talked about the implementation details of how the demo app works & how to set up Semantic Kernel, with the  and Azure OpenA...
In this multi-part series, Jordan Bean shares how to enhance a chatbot to retrieve data from multiple data sources and orchestrate plans with C# Semantic Kernel, planner, and Azure Open AI. In the previous post, we discussed how the RAG pattern isn’t enough to answer complex user questions. We talked about using Semantic Kernel to orchestrat...
In this multi-part series, Jordan Bean shares how to enhance a chatbot to retrieve data from multiple data sources and orchestrate plans with C# Semantic Kernel, planner, and Azure Open AI. As discussed in the previous post about Azure OpenAI, using the Retrieval Augmented Generation (RAG) pattern is a simple & effective way to enable Az...
