EShopSupport Series on Jason Haley

eShopSupport Series: EvaluationTests Project

info@jasonhaley.com (Jason Haley) — Wed, 11 Dec 2024 00:00:00 +0000

This is the seventh part of the eShopSupport Series which covers the details of the eShopSupport GitHub repository.

NOTE: This entry will make the most sense to you if you’ve first read eShopSupport: Evaluator Project

EvaluationTests Project

The EvaluationTests project is a recently added xUnit Test Project that uses the new Microsoft.Extensions.AI.Evaluation packages highlighted in this blog: Evaluate the quality of your AI applications with ease. I think the idea is to replace the Evaluator project but, as is, it doesn’t run all 500 evaluation questions in the dev folder (which is good since it would not be cheap to do unless you are running locally).

eShopSupport Series: Customer Web UI Project

info@jasonhaley.com (Jason Haley) — Sat, 19 Oct 2024 00:00:00 +0000

This is the sixth part of the eShopSupport Series which covers the details of the eShopSupport GitHub repository.

CustomerWebUI Project

The CustomerWebUI project is a Blazor application used to capture support ticket information from customers. It is one of the two user interface projects in the solution that highlight how to adding some AI functionality into business applications can be useful. The project is located under the src folder:

In this entry I’ll cover the functionality the web application provides, a few things I found interesting and some thoughts on improvements.

eShopSupport Series: Python Inference Project

info@jasonhaley.com (Jason Haley) — Sat, 12 Oct 2024 00:00:00 +0000

This is the fifth part of the eShopSupport Series which covers the details of the eShopSupport GitHub repository.

PythonInference Project

The PythonInference Project is a python project that provides a web API to classify the case type when a new customer support ticket is entered in the system. It does this by passing the user’s comment to the API, which uses a local model from Hugging Face (cross-encoder/nli-MiniLM2-L6-H768) to classify the text.

eShopSupport Series: Aspire Projects (AppHost and ServiceDefaults)

info@jasonhaley.com (Jason Haley) — Fri, 04 Oct 2024 00:00:00 +0000

This is the fourth part of the eShopSupport Series which covers the details of the eShopSupport GitHub repository.

The Aspire Projects (AppHost and ServiceDefaults)

Unlike the other blog entries in this eShopSupport Series, this one is going to cover two projects in the solution: AppHost and ServiceDefaults - both are important for the Aspire local development experience. These projects are located under the src folder:

In this entry I’ll cover the details of how the AppHost and ServiceDefaults projects are used in the local development environment, a few things I found interesting and some thoughts on improvements.

eShopSupport Series: Evaluator Project

info@jasonhaley.com (Jason Haley) — Fri, 20 Sep 2024 00:00:00 +0000

This is the third part of the eShopSupport Series which covers the details of the eShopSupport GitHub repository.

Evaluator Project

The Evaluator project is a console application used to evaluate the chat portion of the application provided by the AssistantApi in the Backend project. The Evaluator application uses the questions in the evalquestions.json file to test the assistant API and scores the results it returns against the answers in that JSON file. This gives you the ability to measure the quality of the chat functionality - which is an important thing to do when you are building application functionality that depends on an LLM.

eShopSupport Series: DataIngestor Project

info@jasonhaley.com (Jason Haley) — Thu, 05 Sep 2024 00:00:00 +0000

This is the second part of the eShopSupport Series which covers the details of the eShopSupport GitHub repository.

DataIngestor Project

The DataIngestor is a console application that will process the data files created by the DataGenerator - it does not ingest the data into any of the databases. I mentioned in the last entry about the DataGenerator that you didn’t need to use the DataGenerator because there are two sets of generated files provided in the github repo: dev and test. What I failed to mention is those files are result of both the DataGenerator and the DataIngestor being run. So you also don’t have to use the DataIngestor.

eShopSupport Series: DataGenerator Project

info@jasonhaley.com (Jason Haley) — Mon, 02 Sep 2024 00:00:00 +0000

This is the first part of my eShopSupport Series which looks into the details of the eShopSupport GitHub repository.

DataGenerator Project

The DataGenerator is a console application that will generate multiple types of seed data files for loading into the application or to use when evaluating the question answering functionality. However, you don’t have to use the DataGenerator - there are two sets of generated files provided in the github repo: dev and test.

In this entry I will provide some detail of what the DataGenerator application does, some interesting things about it and a few things I’d like to change.

eShopSupport Series

info@jasonhaley.com (Jason Haley) — Fri, 23 Aug 2024 00:00:00 +0000

Announcing: The eShopSupport Series

In case you missed this week’s .NET Conf Focus on AI you can find all the videos on the dotnet YouTube channel. The one I want to point out here is: Better Together: .NET Aspire and Semantic Kernel with Steve Sanderson and Matthew Bolanos.

Steve’s portion of the talk is a distilled version of his NDC talk earlier this year: How to add genuinely useful AI to your webapp (not just chatbots) where he introduced the eShopSupport project. If you are a .NET developer looking for ways to use AI in real world applications - you should absolutely watch that video.