Abstract: This paper presents a personalized diet recommendation system that leverages a graph database and retrieval-augmented generation (RAG) with large language models (LLMs) to provide accurate ...
Abstract: To address the challenges of semantic parsing of multi-source heterogeneous information and the delayed emergency response decisions caused by insufficient relational reasoning capabilities ...
KIP transforms organizational knowledge into intelligent, queryable graph structures using Neo4j, providing semantic search capabilities far beyond traditional keyword matching. Built through ...
The Indian Legal KAG System is an advanced AI-powered platform that combines Knowledge Augmented Generation (KAG) with constitutional law expertise to provide comprehensive legal document analysis, ...