Simplify the development of your next GenAI application with GraphRAG-SDK, a specialized toolkit for building Graph Retrieval-Augmented Generation (GraphRAG) systems. It integrates knowledge graphs, ...
Abstract: This paper presents a novel deep learning architecture, the Dual-scale Attribute Graph Transformer (DAGT), for extracting spatial-temporal features from attributed graph data. DAGT addresses ...
The Scenario Runner is an application that executes shader and neural network graph workloads through Vulkan® or the ML extensions for Vulkan®. The Scenario Runner acts as a validation and performance ...
According to God of Prompt (@godofprompt), top engineers at AI companies such as OpenAI, Anthropic, and Microsoft are moving beyond basic Retrieval-Augmented Generation (RAG) by prioritizing ...
According to God of Prompt (@godofprompt), Graph RAG leverages knowledge graphs to understand complex enterprise relationships, such as how 'Enterprise Customer' relates to 'Contract Terms,' 'Refund ...
Abstract: Graph applications are bound to high memory latencies due to the vast graph data they process and irregular memory access patterns. One of the several approaches to overcome this memory ...
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