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 ...

This repository showcases two Streamlit applications that demonstrate how to build Retrieval-Augmented Generation (RAG) solutions using Azure SQL Database's native vector capabilities and Azure OpenAI ...

Generate an SQL query and explanation based on a natural language question and table schema context. The schema or table structure (provided as a `CREATE TABLE` statement) to help the model understand ...

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 ...

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, ...

A free tool to reduce coding for developers who like to surface T-SQL database recordsets in a simple collection of customized POCO objects. Every so often, I find myself wishing that I had a utility ...