As we step into 2025, the healthcare industry continues to integrate generative AI (GenAI) into clinical workflows, with document retrieval emerging as one of its most impactful applications.

A recent study published in Engineering presents a novel framework named ERQA (mEdical knowledge Retrieval and Question-Answering), which is powered by an enhanced large language model (LLM). This ...

This research develops a decision-making system for aircraft wing-spar tooling design that employs ontology-based Knowledge Retrieval Practices (KRP) to reduce search effort, improve traceability, and ...

To enhance aircraft fault diagnosis efficiency, this paper proposes HybridRAG, an intelligent-guided troubleshooting framework that integrates knowledge graphs and large language models (LLMs). Unlike ...

What if your AI could not only retrieve information but also uncover the hidden relationships that make your data truly meaningful? Traditional vector-based retrieval methods, while effective for ...