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 ...
The new service automates embeddings, indexing, and connectors to help developers focus on building AI apps instead of ...
We introduce ChronoQA, a benchmark dataset for Chinese question answering focused on evaluating temporal reasoning in Retrieval-Augmented Generation (RAG) systems. Built from over 300,000 news ...
RFG believes many companies engaging in knowledge management (KM) initiatives are missing a critical step during the KM planning phase the knowledge assessment or audit. Cross-industry studies show ...
Generative pre-trained language models have demonstrated strong capabilities in natural language processing tasks, but they still suffer from “fact hallucination” and weak knowledge timeliness in open ...
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 ...
Artificial intelligence (AI) is revolutionizing digital advertising, enabling brands to deliver personalized and engaging experiences at scale. However, despite the advancements in generative AI, one ...
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