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In the ever-evolving landscape of data management and artificial intelligence, the ability to generate SQL queries using natural language inputs is a game-changer. Azure OpenAI , with its powerful language models, offers a seamless way to translate natural language into SQL queries, making data interaction more intuitive and accessible. This article will guide you through the process of leveraging Azure OpenAI to generate SQL queries, enhancing your data querying capabilities. Introduction Azure OpenAI Service provides access to OpenAI’s powerful language models through the Azure platform. These models are capable of understanding and generating human-like text, making them ideal for tasks such as natural language processing, text generation, and, importantly, translating natural language into SQL queries. Setting Up Azure OpenAI and Azure SQL DB Before you can start generating SQL queries, you need to set up your Azure OpenAI environment. Here are the steps. Create an Azure Account

In today’s data-driven era, where we are dealing with massive data pertaining to different data sources having different data formats, it creates a very big challenge, especially in terms of efficient search and information retrieval. Dive into this deep ocean and locating the correct data is not at all an easy task with AI. In this article, I’ll show you how you can integrate Azure SQL Database, FAISS , and advanced models from Hugging Face to enhance your search capabilities. Let’s take a quick look at each of these pillars. Understanding Terminology Azure SQL Database Azure SQL Database i s a cloud-based service that provides a totally managed database system. The high availability, scalability, and security of this particular service type make it the best option for handling large amounts of data. FAISS FAISS is short for Facebook AI Similarity Search. It is a library written by Facebook AI Research that enables efficient similarity search and clustering of dense vectors. It suppor