Showing results for AI - Azure SQL Devs’ Corner

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...

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...

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...

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...

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 similarity s...

Vanna.ai and Microsoft SQL Vanna.ai, in partnership with Azure SQL Database Product Management, bring you a collaboration for using Vanna's natural language to SQL (NL2SQL) agent with the Azure SQL Database. How does Vanna.ai work? First, Vanna is an open-source Python RAG (Retrieval-Augmented Generation) framework for SQL generation/natural lan...

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 ser...