5 papers
AkasicMEM: Governed Enterprise Memory for Agents
Jeongmin Bae, Yongjae Kim, Kyoung Hur +2
Agent memory enables enterprise agents to retain knowledge acquired during work and reuse it across tasks and agents, turning execution experience into persistent organizational kn…
SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL
Geonho Lee, Min-Soo Kim
Large language models (LLMs) have advanced Text-to-SQL by enabling natural language interfaces to databases without task-specific fine-tuning. However, existing LLM-based systems r…
AkasicDB: Demonstrating Omni RAG with a Unified Vector-Graph-Relational DBMS
Geonho Lee, Jeongho Park, Donghyoung Han +1
Recent Retrieval-Augmented Generation (RAG) systems increasingly combine vector retrieval with structured knowledge, such as Graph RAG and Filtered vector search. However, existing…
ExtGraph: A Fast Extraction Method of User-intended Graphs from a Relational Database
Jeongho Park, Geonho Lee, Min-Soo Kim
Graph analytics is widely used in many fields to analyze various complex patterns. However, in most cases, important data in companies is stored in RDBMS's, and so, it is necessary…
MobileRAG: A Fast, Memory-Efficient, and Energy-Efficient Method for On-Device RAG
Taehwan Park, Geonho Lee, Min-Soo Kim
Retrieval-Augmented Generation (RAG) has proven effective on server infrastructures, but its application on mobile devices is still underexplored due to limited memory and power re…