Project Mission The way people work and manage information is changing rapidly in our digital age. More and more people are struggling to keep track of all the online resources they use daily. They need a better way to save, organize, and retrieve important information from websites, articles, and other online sources. This is especially true fo...

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...

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...

Welcome to the exploration of how to chat with your data in Azure SQL Database. Being able to interact with your data more intuitively and conversationally can significantly enhance your data analysis and decision-making processes. This blog post will guide you through the process of setting up a chat interface for your Azure SQL Database, using an...

With public preview of integrated vectorization, a ground-breaking capability of vector search in Azure AI Search (previously Azure Cognitive Search), you can do vector search with data stored in Azure SQL Database easily. This feature is designed to streamline the process of chunking, generating, storing, and querying vectors for vector search in ...