PageIndex, a new open-source framework, achieves 98.7% accuracy on complex document retrieval by using tree search instead of ...
Abstract: This work studies black-box adversarial attacks against deep neural networks, where the attacker only has access to the query feedback from the target model. The current state-of-the-art ...
The query optimizer is a crucial component in a relational database system and is responsible for finding a good execution plan for a SQL query. For cloud database service providers, the importance of ...
In a modern enterprise data environment, the increasing volume of data, distributed architecture, and complex application dependencies challenge traditional query-tuning methods. Observability ...
Have you ever found yourself staring at a spinning wheel, waiting for your Power Query to refresh, only to wonder if there’s a better way? For anyone working with large datasets, refresh delays aren’t ...
ABSTRACT: This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in modern work environments that require processing large amounts of ...
The best CRM article on Page 1 might lose to a single paragraph buried on Page 3. That’s how AI search works now, and it’s why traditional SEO strategies are failing businesses that should be winning.
Abstract: This paper describes an implementation of Kruskal's algorithm in query optimization process for generation of a near optimal execution query tree. The open source Post- greSQL DBMS was used ...
Google’s AI Overviews (AIOs) are AI-generated responses that appear at the top of the search engine results page (SERP). Unlike traditional search results, AIOs summarize information from multiple ...
Describes concepts and architecture of query processing and document retrieval for full text search, as implemented Azure AI Search. Full text search is an approach in information retrieval that ...
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