This sample demonstrates how to use Azure SQL to store and search data with AI. The sample uses RAG pattern, implementend with Azure SQL, to search for the most relevant code and end-to-end samples ...

Elasticsearch started life as a document database sitting atop the Lucene text search engine library. It was soon joined by related applications, and the preferred acronym for the Elasticsearch family ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...

Custom proximity search is a new feature introduced in SQL Server 2012 Full-Text Search. It's facilitated using the NEAR operator, allowing it to be used in the CONTAINS predicate or CONTAINSTABLE ...

An update to the cardinality estimator feature in SQL Server 2022 will be one of the biggest changes to the database engine since its inception. Database engines like SQL Server are incredibly complex ...

Learn about the query completion patent that helps Google predict the best autocomplete answers for a user's search query. Query completions are a set of predictive suggestions that might appear when ...

Traditional surveillance systems, including those used by the US Centers for Disease Control and Prevention (CDC) and the European Influenza Surveillance Scheme (EISS), rely on both virological and ...

The typical proximity search is where the user enters their location (usually a postal code) and a radius value (or the radius is hard-coded), and the query finds all points (store locations, offices, ...

As mobile commerce continues to dominate online activity, platforms must help users search more effectively on small screens. Our research shows that query recommendations — automated suggestions of ...