A developer-oriented Graph Retrieval-Augmented Generation (Graph RAG) visualization and parameter tuning platform. This tool combines knowledge graphs with vector retrieval to provide contextual ...

Abstract: The visualization model using LLM primarily operates based on pre-trained materials. However, these models may experience hallucination problem when dealing with knowledge not found in the ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. John "Hannibal" Smith (George Peppard) loved it when a plan ...

Google’s Knowledge Graph saw its largest contraction in a decade in June: a two-stage, one-week drop of 6.26% – over 3 billion entities deleted. Since 2015, we’ve tracked the Knowledge Graph and have ...

To stay visible in AI search, your content must be machine-readable. Schema markup and knowledge graphs help you define what your brand is known for. New AI platforms, powered by generative ...

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 ...

LIBBY is a specialized AI persona designed to explore, organize, and retrieve information from knowledge graphs. She acts as a digital librarian with deep expertise in information architecture and ...

A new intelligent fault diagnosis framework for CNC systems, based on LLMS and KG, has been proposed by researchers from Huazhong University of Science and Technology, Center for Strategic Studies of ...

1 Business College, California State University, Long Beach, CA, United States 2 School of Business and Management, Shanghai International Studies University, Shanghai, China In common graph neural ...