Showing results for AI - Azure SQL Devs’ Corner

Not even 6 months ago we started the Early Adopter Preview vector data support in Azure SQL, and we got great feedback and a lot of enthusiasm about the feature. Developers are excited to be able to easily build AI-enabled solution using an enterprise ready, secure, scalable and proven platform like Azure SQL, without the need to move data ...

If you are looking forward to build AI-enabled applications on your own data, you'll be excited to know that the Early Adopter Preview announced for Azure SQL DB on native vector capabilities is now available also for those who have data stored in Azure SQL Managed Instance! Make sure to learn how to store and use vectors functions reading the ...

Retrieval Augmented Generation, or RAG, is one of the hottest topics at the moment as it opens up the possibility of interacting with data using natural language, which is a long-time dream finally coming true. It is very likely that a lot of your data is already stored or will be stored in Azure SQL, so a common request is to have an ...

In today’s data-driven world, finding similar items within large datasets is a common challenge. Whether it’s recommending products, identifying similar documents, or clustering data points, efficient similarity search is crucial. This blog post will explore how to leverage FAISS (Facebook AI Similarity Search) and Azure SQL to perform ...

Generative AI is not just a technological advancement; it's a paradigm shift that is redefining the landscape of customer interaction. Azure SQL Database stands at the forefront of this revolution, offering unparalleled opportunities to harness the power of "your data" in crafting state-of-the-art applications. As we stand at the cusp of an AI ...

We are super excited to announce the Early Adopter Preview of Native Vector Support in Azure SQL Database and are currently accepting requests from customers who wish to participate. Latest updates - 11 September 2024 This article has been updated on 11 September 2024 to reflect the updated features. Make sure to read about the newly ...

In a previous article I already mentioned how vectors can be easily stored in Azure SQL already and how to calculate dot product and cosine distance using just T-SQL. In this article I will show how to improve the performance in vector search by using a technique that has many name but is really based on something very well know already: KMeans ...

LangChain is an open-source framework for creating applications that use and are powered by language models (LLM/MLM/SML). In this post, basic LangChain components (toolkits, chains, agents) will be used to create a natural language to SQL prompt that will allow interactions with an Azure SQL Database; just ask the database what you want as if ...

In my previous posts, I have covered using Azure OpenAI services with Azure SQL Database via REST endpoints. This post with further explore that pathway by creating stored procedures you can use to encapsulate the REST calls and combine them with custom business logic for AI content moderation with Azure SQL Database. A Quick Introduction The ...