Abstract: Multi-range query (MRQ) is a typical multi-attribute data query widely used in various practical applications. It is capable of searching all data objects contained in a query request. Many ...

In this tutorial, we build an advanced Agentic Retrieval-Augmented Generation (RAG) system that goes beyond simple question answering. We design it to intelligently route queries to the right ...

In today's world of enterprise finance, information is king. But it doesn't do any good to have access to information unless it's timely, reliable, and actionable. This is where PeopleSoft, a top-tier ...

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 ...

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

Have you ever found yourself buried under a mountain of Excel sheets, each holding pieces of data that need to be stitched together into one cohesive whole? It’s a common challenge for anyone working ...

For example, when a user asks a question, the LLM analyzes the input and decides whether it can answer directly or if additional steps (like a web search) are needed.

Abstract: Query formulation is increasingly performed by systems that need to guess a user's intent (e.g. via spoken word interfaces). But how can a user know that the computational agent is returning ...

To address meaningful and sustainable data-centric training, the Office of the University Registrar at Duke University developed two online training courses for its internal staff and others in the ...

In today’s fast-paced business environment, efficient and accurate financial reporting is crucial for making informed decisions. Manually consolidating and transforming financial data from multiple ...