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 ...
A concise, hands-on repo to accompany the presentation “Modern SQL: Vector Search with Embeddings.” modern-sql-vector-search/ ├─ slides/ # Slide deck ├─ src/ │ └─ sql/ │ ├─ 01-schema.sql # Tables + ...
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 ...
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 ...
The project aims to develop a comprehensive patent search system using SQL, catering to the diverse information retrieval needs of stakeholders in the fields of research, innovation, intellectual ...
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 ...
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 ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback