According to @_avichawla on Twitter, QueryWeaver is now available on GitHub as an open-source toolkit for optimizing graph-augmented retrieval and natural language queries over knowledge graphs, ...

An autonomous OPAL query optimization plugin for Claude Code. Give it a query or an existing monitor ID, and it iteratively rewrites the OPAL, measures execution performance via the Observe CLI, ...

In this tutorial, we shift from traditional prompt crafting to a more systematic, programmable approach by treating prompts as tunable parameters rather than static text. Instead of guessing which ...

AI Overviews drive 10% more queries for searches that show them. Search revenue grew 12% year-over-year. Google processes over 980 trillion tokens monthly. Google’s Q2 earnings show AI Overviews are ...

Query Performance Insight proposes to provide intelligent query analysis for databases. The most preferred insights are the workload patterns and the longer-running queries. Understanding these ...

Abstract: Efficient SQL Query Optimization (QO) is a fundamental aspect of database management systems, aimed at enhancing query performance and reducing resource consumption typically involves ...

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...

Query optimization lies at the heart of modern database management systems, striving to identify the most efficient access and execution plan for a given declarative query. Traditional optimisers ...

The performance of a query crucially depends on the ability of the query optimizer to choose a good execution plan from a large space of alternatives. With the discovery of algebraic transformation ...