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Databases

Stanford researchers introduce RelBench: A Public Benchmark for Deep Learning within Relational Databases.

Relational databases are fundamental to many digital systems, playing a critical role in data management across a variety of sectors, including e-commerce, healthcare, and social media. Through their table-based structure, they efficiently organize and retrieve data that's crucial to operations in these fields, and yet, the full potential of the valuable relational information within these…

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LOTUS: An Inquiry System for Logical Deductions on Extensive Bodies of Unstructured and Structured Data Using LLMs

Scientists from Stanford University and UC Berkeley have developed a new programming interface called LOTUS to process and analyze extensive datasets with AI operations and semantics. LOTUS integrates semantic operators to conduct widescale semantic queries and improve methods such as retrieval-augmentation generation that are used for complex tasks. The semantic operators in LOTUS enhance the relational…

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