baeke.info, page 5
Creating a custom GPT to query any knowledge base with actions
A while ago, OpenAI introduced GPTs. A GPT is a custom version of ChatGPT that combine instructions, extra knowledge, and any combination of skills. In this tutorial, we are going to create a custom GPT that can answer questions about articles on this blog. In order to achieve that, we will do the following: create…
Trying the OpenAI Assistants API
If you have ever tried to build an AI assistant, you know that is not a simple task. In almost all cases, your assistant needs access to external knowledge such as documents or APIs. You might even want to provide your assistant a code sandbox to solve user queries with code. When your assistant is…
Working with Recipes and Gateways in Microsoft’s Radius
In a previous post, we looked at the basics of deploying a multi-container app that uses Dapr with Radius. In this post, we will add two things: a recipe that deploys Redis a gateway: to make the app available to the outside world Find the full code and app.bicep in the following branch: https://github.com/gbaeke/raddemo/tree/radius-step1. Recipes…
Giving Microsoft’s Radius a spin
Microsoft recently announced Radius. As stated in their inaugural blog post, it is “a tool to describe, deploy, and manage your entire application”. With Radius, you describe your application in a bicep file. This can include containers, databases, the connections between those and much more. Radius is an open-source solution started from within Microsoft. The…
Using Azure Database for PostgreSQL as a vector store
When we build LLM applications, there is always a recurring question: “What vector store will we use?”. In Azure, there are several native solutions. Some of them were discussed in previous posts. Azure Cognitive Search: supports vector search but also hybrid search with semantic reranking as discussed here Azure Redis Cache Enterprise: check my blog…
Use Azure OpenAI Add your data vector search from code
In the previous post, we looked at using Azure OpenAI Add your data from the Azure OpenAI Chat Playground. It is an easy-to-follow wizard to add documents to a storage account and start asking questions about them. From the playground, you can deploy a chat app to an Azure web app and you are good…
Improvements in Azure OpenAI Add your data
In a previous post, I talked about the Add your data feature in the Azure OpenAI Chat playground. Recently, there have been some updates to this feature, including vector search. Let’s take a look at the updated experience and focus on vector search. Starting point I have some PDF documents in a storage account container.…
Use the Azure Add your data feature from code
In a previous post, we looked at Azure Add your data (preview) that can be configured from the Azure OpenAI Chat playground. In a couple of steps, you can point to or upload files of a supported file type (PDF, Word, …) and create an Azure Cognitive Search index. That index can subsequently be queried…
Building a chatbot in Azure that works with your data
When I talk to customers about Azure OpenAI, I am often asked how to build a chatbot that uses your own data in the simplest way possible while still allowing for some customization. In Azure, there are a few solutions. We will look at one of the solutions in this post. Note: don’t feel like…
Semantic Kernel Planner 101
Introduction If you are a developer who wants to build AI-first apps with natural language processing and large language models, you might be interested in Semantic Kernel (SK), a lightweight and open-source SDK that aims to simplify the integration of AI with conventional programming languages. SK is part of the CoPilot Stack and Microsoft is…
