Tag: temporal

In the rapidly evolving landscape of Retrieval-Augmented Generation (RAG), the primary challenge has shifted from merely retrieving relevant information to ensuring that the retrieved information is truthful and current. As organizations deploy Large Language Models (LLMs) to navigate complex data environments, they face a silent killer of system performance: "temporal staleness." Standard Knowledge Graphs (KGs) […]