Abstract: Query optimizers are an essential component of database management systems (DBMSs) as they search for an execution plan that is expected to be optimal for a given query. However, they ...
Traditional RAG systems struggle bridging structured SQL databases and unstructured document collections (a challenge we call the modality gap), leading to incomplete reasoning and hallucinations.
On Friday the 13th of March 2026, M.Sc. Valter Uotila defends his PhD thesis on Quantum Computing Methods for Query Optimization in Relational Databases. The thesis is related to research done in the ...
Retrieval-Augmented Generation (RAG) represents an advanced AI system that enhances Large Language Models (LLMs) through real-time knowledge integration from external sources [1]. The technique ...
Mission: Deliver a modern database that seamlessly integrates traditional RDBMS capabilities with cutting-edge features like vector search, temporal queries, adaptive compression, and comprehensive ...
Currently I head the Azure SQL DB R&D Organization in India. Prior to this, I was a researcher at Microsoft Research India and Microsoft Gray Systems Lab. My areas of interest include query processing ...
With the rapid development of artificial intelligence, large language models (LLMs) have demonstrated remarkable capabilities in natural language understanding and generation. These models have great ...
OPINION Last week, I committed a crime. No, I did not defraud the IRS/HMRC or steal some Snyder's Pretzels/Cheesy Wotsits. It was much worse. A keen reader pointed out that I had miscounted the number ...
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