I recently presented at Python Day 2024 on Langchain integration. I created a slide deck that I believe can be useful beyond just the session, so I wanted to share it here for everyone's benefit. The deck covers the most common topics for a Python developer: The slide deck, which I created using the Sli.dev SDK, so t...
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...
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...
Azure SQL Database Engineering and Product Management would like to announce that Azure SQL Trigger Binding for Azure Functions is now generally available (GA). Catching Up As a quick refresher, the Azure SQL trigger uses SQL change tracking functionality to monitor a SQL table for changes and trigger a function when a row is created, updated, or...
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 ...
Creating a Kubernetes Application for Azure SQL Database Buck Woody, Principal Applied Data Scientist, Microsoft Modern application development has several challenges. From selecting a "stack" of front-end through data storage and processing from several competing standards, through ensuring the highest levels of security and performance, dev...
Large Language Models (LLMs) have proven exceptional capabilities in chatting with unstructured, text data. But what if we want to interact with structured data? To do so, we will need to build an LLM-powered Agent which is able to reason over structured data, in our specific case an Azure SQL DB. Luckily for us, we don’t have to build this conn...
In January 2023, Microsoft announced the General Availability of the Azure OpenAI Service (AOAI), which allows Azure customers to access OpenAI models directly within their Azure subscription and with their own capacity. There are four models families available at the moment: In this post, we will see how y...
When building applications on Azure SQL, one of the most flexible ways to send data from your database to other systems is to use Azure Functions. Azure Functions are serverless functions that can be triggered by a variety of events, including HTTP requests, timers, and Azure SQL Database changes. In this article, we will discuss how to send data f...
