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 ...

Add lightning quick search capabilities to your Rails apps without external systems like ElasticSearch. It's now magically simple to craft the ActiveRecord/Arel expressions we already know and love, ...

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 ...

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 ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. When it comes to wrangling SQL, providing a multi-platform ...

Overview NewSQL combines the consistency of SQL with the scalability of NoSQL to meet modern data needs.It offers faster query execution and real-time analytics ...

I would like to make some of our database search functions more sophisticated, but I'm running into a roadblock. The code below is a cleaned-up version of what I've come up with (minus several search ...

In the most recent releases, SQL Server went beyond relational data and enabled support for graph data, R, and Python machine learning, while making SQL Server available on Linux and containers in ...