Showing results for vector - Azure SQL Devs’ Corner

Chatbots are the hot topic lately, and now you can create them easily by downloading solutions like OpenWebUI, connect it to Ollama or any OpenAI compatible API, choose your favorite language model, and then run it. It just takes a few minutes and it's done. But building chatbots is not enough, you most likely want to build a chatbot on your own...

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 ...

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 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 ...

Vector databases are gaining quite a lot of interest lately. Using text embeddings and vector operations makes extremely easy to find similar “things”. Things can be articles, photos, products...everything. As one can easily imagine, this ability is great to easily implement suggestions in applications. From providing suggestions on similar ...