Query processing is the task of transforming a user's information need into a set of relevant results from a large collection of data. Real-time search engines are systems that can handle dynamic and ...

Query processing is a fundamental task for search engine to present the highly relevant search results to the user. Query processing (for a search engine like Google) involves several sophisticated ...

Query processing and optimisation form the backbone of relational database management, transforming high‐level declarative requests into efficient execution strategies. The pipeline begins with ...

Abstract: The growth in data volume poses a challenge to query processing. On the other hand, advancements in technology have made multicore CPUs available in many inexpensive servers. so parallel ...

Prior to SQL Server 2017, query processing was a monolithic process. The SQL Server query optimizer would first construct a query plan for a batch of T-SQL code, a stored procedure, or function and ...

Seiden is an advanced algorithm designed to process queries efficiently in large-scale video databases. It uses innovative sampling strategies and object detection models to deliver fast and reliable ...

Abstract: Analytic processing systems have been traditionally designed to optimize time performance, leaving energy as a secondary aspect. More recently, during the past decade, there has been a ...

The past decade has seen a tremendous interest in large-scale data processing at Microsoft. Typical scenarios include building business-critical pipelines such as advertiser feedback loop, index ...

This FastAPI application implements a powerful RAG (Retrieval Augmented Generation) system for PDF document processing and intelligent querying. Key features include: PDF processing with text ...