Abstract: With the increasing requirements for the development and utilization of big data, it becomes more and more important to cultivate big data talents to meet the needs of society. The ...
Welcome! kg-gen helps you extract knowledge graphs from any plain text using AI. It can process both small and large text inputs, and it can also handle messages in a conversation format. Why generate ...
Both DGRO and VYM are attractively valued when compared to the SP500 approximated by VOO when adjusted for yield and growth.
What if you could transform overwhelming, disconnected datasets into a living, breathing map of relationships, one that not only organizes your data but also reveals insights you didn’t even know you ...
Abstract: This paper investigates a GraphRAG framework that integrates knowledge graphs into the Retrieval-Augmented Generation (RAG) architecture to enhance networking applications. While RAG has ...
Rajiv Shesh is the Chief Revenue Officer at HCLSoftware where he leads revenue growth & customer advocacy for Products & Platforms division. What’s really powering AI? High-quality data—foundational ...
For decades, enterprise data infrastructure focused on answering the question: “What happened in our business?” Business intelligence tools, data warehouses, and pipelines were built to surface ...
Therefore, it has the potential to provide neurosurgeons with rapid and reliable decision support, especially in emergency conditions. The knowledge graph enhanced deep-learning model can exhibit ...
The GFM-RAG is the first graph foundation model-powered RAG pipeline that combines the power of graph neural networks to reason over knowledge graphs and retrieve relevant documents for question ...
What if you could transform vast amounts of unstructured text into a living, breathing map of knowledge—one that not only organizes information but reveals hidden connections you never knew existed?
The integration of electronic medical records (EMRs) in modern healthcare holds significant promise; however, traditional approaches to syndrome differentiation in Traditional Chinese Medicine (TCM) ...