Showing results for Vector Search - Azure SQL Devs’ Corner

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 o...

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 exampl...

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 update - 06 November 2024 Vector Support is now available as Public Preview! Read the announcement here: Public Preview of Native Vector Support in Azure ...

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 Clu...

With public preview of integrated vectorization, a ground-breaking capability of vector search in Azure AI Search (previously Azure Cognitive Search), you can do vector search with data stored in Azure SQL Database easily. This feature is designed to streamline the process of chunking, generating, storing, and querying vectors for vector search in ...