Jason Haley

Ramblings from an Independent Consultant

Study Notes: Graph RAG - Property Graph RAG

This past month I’ve been focusing on Graph RAG. This entry is an attempt to capture some lessons learned and a place to itemize all the resources I’ve found useful. Related posts: Study Notes: Graph RAG - Property Graph RAG (The Notebook) Study Notes: Graph RAG - Property Graph RAG (The Projects) NOTE: My approach to this topic was to find a way to improve a typical RAG implementation that only uses vector similarity searching.

Posted by Jason on Monday, August 5, 2024

Study Notes: Text-to-SQL Code Sample

Yesterday I posted my notes from this week’s study topic of Text-to-SQL, which if you haven’t read it - provides more information and resources about the topic. In this entry I want to walk through a code sample I put together after playing with a few samples this week. Where To Get The Code The code for this entry is in my GitHub repo semantic-kernel-getting-started under the samples/demos/Text-to-Sql directory. Originally I considered making this a review of the NL2SQL code sample, but I ended up needing to make some changes to it, so I just copied over some of their code for my sample - that is why the nl2sql.

Posted by Jason on Saturday, July 6, 2024

Study Notes: Text-to-SQL

This week I’ve been researching Text-to-SQL (also known as Natural Language to SQL), below are my study notes to compile all the resources I’ve found on the topic to date. There is also a corresponding blog entry that walks through a code example. NOTE: I am approaching this topic specifically looking at how it can be used to extend usage scenarios in a RAG application. Background Text-to-SQL (or Natural Language to SQL) is a pattern where the objective is to have an LLM generate SQL statements for a database using natural language.

Posted by Jason on Friday, July 5, 2024

Boston Azure June 2024

Last night was the Season of AI presentation. We started with Bill Wilder presenting the fundamentals of Generative AI and quick introduction to Azure AI Studio, then I finished up with a .NET code walkthrough implement Retrieval Augmented Generation (RAG) using Semantic Kernel. It was nice to see a lot of regular faces and meet several new people. Demo Code The demo code is on my GitHub repo BostonAzure-June2024 under a subdirectory.

Posted by Jason on Tuesday, June 25, 2024

Demo Review: Chat Copilot

Demo Review: Chat Copilot This is the fifth C# demo in The RAG Demo Chronicles (Blog Series) and has the most extensive use of Semantic Kernel out of all the demos I’ve reviewed. The use of Retrieval Augmented Generation (RAG) is different with this project than the other demos I’ve reviewed - mainly because RAG is just one of its features. With this demo, I also took the time to configure the optional authentication so I could play with the MS Graph plugin … and WOW!

Posted by Jason on Tuesday, June 18, 2024

Semantic Kernel Hello World WebSearchEnginePlugin

UPDATE: The Bing Search APIS are being deprecated. See the announcement for more details: Bing Search APIs retiring on August 11, 2025. I have updated the post and corresponding Github code to use the Brave connector instead. A couple of weeks ago I thought I’d written my last of these blogs, mainly due to me getting more in depth with Semantic Kernel. However, after I watched Will Velida’s video Using Bing Search API in the Semantic Kernel SDK … I couldn’t help but wonder what the API calls were behind the scenes.

Posted by Jason on Monday, June 10, 2024

Semantic Kernel Hello World Planners Part 2 - (Deprecated)

UPDATE: Planners have been deprecated. See this Semantic Kernel blog for more detail: Semantic Kernel: Package previews, Graduations & Deprecations Last week in the Semantic Kernel Hello World Planners Part 1 entry, I used the Handlebars planner to implement the sample Hello World functionality and then looked at the token difference between using a saved plan vs. generating a plan. In this entry I use the Function Calling Stepwise Planner to create the sample Hello World functionality and compare it to the implementation in the Semantic Kernel Hello World Plugins Part 3 entry.

Posted by Jason on Monday, May 27, 2024

Semantic Kernel Hello World Planners Part 1 - (Deprecated)

UPDATE: Planners have been deprecated. See this Semantic Kernel blog for more detail: Semantic Kernel: Package previews, Graduations & Deprecations A few weeks ago in the Semantic Kernel Hello World Plugins Part 3 blog entry, I showed how to use OpenAI Function Calling. The last half of that entry was all about how to view the response and request JSON going back and forth to OpenAI, which detailed four API calls.

Posted by Jason on Sunday, May 19, 2024

Semantic Kernel Hello World Plugins Part 3

Last week I blogged Part 2 showing the creation of a native function plugin, in this post I want to take that native function a step further and use the OpenAI Function calling. This will allow us to not provide the current date when making the call to get a historic daily fact and have OpenAI call a function to get the current date. I’ve added the HelloWorld.Plugin3.Console project to the GitHub repo for the code in this blog entry.

Posted by Jason on Tuesday, April 30, 2024

Semantic Kernel Hello World Plugins Part 2

Two weeks ago I blogged Part 1, in which I moved the prompt to a prompt template. In this part, I implement a native function that will take in the current date and make the call to the LLM. I’ve put the code for this blog in the HelloWorld.Plugin2.Console project in the same repo as the other SK entries: semantic-kernel-getting-started. Semantic Kernel Plugin: Native Function There is a good Microsoft Learn module: Give your AI agent skills that walks you through the details of what a native function is and how to implement them.

Posted by Jason on Friday, April 26, 2024

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ABOUT ME
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Jason is an experienced developer and solutions architect focused on helping companies provide real business value with custom software development using the Microsoft stack of technologies. This includes C#, .NET, Azure and AI services. In 2024, Jason was awarded a Microsoft MVP in AI - highlighting his latest focus on AI and specifically Generative AI technologies in real world business applications. The prior seven years, he was a Microsoft Azure MVP.

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Jason Haley MVP