Showing results for Vectors - Azure SQL Devs’ Corner

Since the release of vector preview, we've been working with many customers that are building AI solution on Azure SQL and SQL Server and one of the most common questions is how to support high-dimensional data, for example more than 2000 dimensions per vector. In fact, at the moment, the vector type supports "only" up to 1998 dimensions for an emb...

In today's data-driven world, the ability to seamlessly integrate various technologies is crucial for efficient data management and analysis. We’re excited to announce LangChain integration with Azure SQL Database and SQL database in Microsoft Fabric! LangChain, a powerful tool for building solutions with language models, can be effectively comb...

LangChain Integration for Vector Support for Azure SQL and SQL database in Microsoft Fabric Microsoft SQL now supports native vector search capabilities in Azure SQL and SQL database in Microsoft Fabric. We also released the langchain-sqlserver package, enabling the management of SQL Server as a Vectorstore in LangChain. In this step-by-step tutor...

Data is at the heart of every AI application, and efficient data ingestion is critical for success. With over 1,400 enterprise connectors, Logic Apps offers unmatched access to a diverse range of systems, applications, and databases, whether hosted in the cloud or on-premises. These connectors give businesses the flexibility to keep their data wher...

Public Preview of Native Vector Support in Azure SQL Database We are excited to share that the dedicated vector data type in Azure SQL Database, which was previously available through the Early Adopter Preview, is now transitioning to Public Preview! As of today, the Vector data type and its associated functions are accessible to everyone, automat...

The Football (aka Soccer in US 😀) Analisys Copilot provides an intuitive interface for users to interact with complex football data without needing advanced technical skills. By utilizing natural language processing, users can ask questions and retrieve detailed insights from vast datasets, including competitions, matches, teams, players, and e...

RAG - Retrieval Augmented Generation - is by far one of the most common patterns today as it enables the creation of chatbots that can chat on your own data, as I described in my previous "Retrieval Augmented Generation with Azure SQL" blog post. As soon as you start to use it excitement grows, as it provides a sort of a magical experience. Experie...

Hey Azure SQL enthusiasts! 👋 We had a hiring event last week, and as I was going through a stack of digital resumes, I thought, "There has to be an easier way to do this." That's when it hit me—why not use Azure SQL DB’s new vector data type to revolutionize our hiring process? Not only could we find the perfect candidate faster, but we could al...

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...

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 SQL Database! Access to full documentation here: Vector functions. The new data type Not even 6 months ago we started the Early Adopter Preview vector data support in Azure SQL, and...