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Min-Soo Kim

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#artificial intelligence Preprint Sep 2026

AkasicMEM: Governed Enterprise Memory for Agents

Governed Enterprise Memory is defined as agent memory designed around this combined scope and AkasicMEM is presented, a unified vector--graph--relational database whose storage and execution substrate enables the underlying operations of these mechanisms to be jointly optimized and executed.

Jeongmin Bae, Yongjae Kim, K. Hur et al. · 0 citations
Jul 2026

CONDA: A Connectivity-Aware Dynamic Index for Approximate Nearest Neighbor Search over Evolving Data

Graph-based Approximate Nearest Neighbor Search (ANNS) indices must support continuous vector updates while maintaining both high search performance and low update overhead for real-world applications such as RAG systems and streaming services. Existing in-place update methods often lose search accuracy due to graph co...

Darae Lee, Min-Soo Kim · 0 citations
Open access May 2026

SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL

SafeQL is proposed, a search-based refinement paradigm that redefines the role of the DBMS as an active guide in the refinement process, and significantly improves execution accuracy and efficiency compared to regeneration-based methods.

Geonho Lee, Min-Soo Kim · 0 citations

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