PageIndex, a new open-source framework, achieves 98.7% accuracy on complex document retrieval by using tree search instead of ...

This project allows users to work with advanced portfolio optimization using natural language, without writing code. It provides 9 specialized MCP tools covering everything from classic mean-variance ...

According to Jeff Dean on Twitter, concrete examples of various AI performance optimization techniques have been provided, including high-level descriptions from a 2001 set of changes. These examples ...

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 ...

What are “near me” searches and why do they matter? “Near me” searches are high-intent, proximity-driven queries that include language like “near me” or “nearby” to land local search results. For ...

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 ...

Search optimization now requires combining traditional SEO with AI-focused GEO and answer-driven AEO strategies AI search usage continues to grow, with 10% of US consumers currently using generative ...

Hash join build takes majority of time(1.406s) in the following query. We can apply the semi-mask optimization in such case to minimize the number of tuples on the build side. kuzu> profile CALL query ...

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 ...

OpenAI’s recently unveiled o3 model is purportedly its most powerful AI yet, but with one big drawback: it costs ungodly sums of money to run, TechCrunch reports. Announced just over a week ago, o3 ...