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Vector Database vs. Knowledge Graph: Making the Right Choice When Implementing RAG - Vimarsana News

Vector Database vs. Knowledge Graph: Making the Right Choice When Implementing RAG

Whether IT leaders opt for the precision of a Knowledge Graph or the efficiency of a Vector DB, the goal remains clear—to harness the power of RAG systems and drive innovation, productivity, and enhanced user experiences.

Source: cio.com
Optimizely Announces Live Integration with Writer - Vimarsana News

Optimizely Announces Live Integration with Writer

/PRNewswire/ -- Optimizely, the leading digital experience platform (DXP) provider, has announced that a new product integration with Writer, the...

These AI glasses are being backed by the Pokemon Go CEO - Vimarsana News

These AI glasses are being backed by the Pokemon Go CEO

Brilliant Labs Frame is a new pair of smart glasses that aims to change the paradigm of existing designs, with a light weight and a light price to match.

What's next for STIRR, the free streaming service Thinking Media just acquired - Vimarsana News

What's next for STIRR, the free streaming service Thinking Media just acquired

Broadcasting company Sinclair sold off its free, ad-supported streaming TV service, STIRR to startup Thinking Media.

"Research on knowledge graph-driven equipment fault diagnosis method fo" by Chang Cai, Zhengyi Jiang et al. - Vimarsana News

"Research on knowledge graph-driven equipment fault diagnosis method fo" by Chang Cai, Zhengyi Jiang et al.

In the process of rotating machinery fault diagnosis (RMFD), the lack of feature conditions leads to the problem of low accuracy of traditional rule-based reasoning methods FD. This paper proposed a knowledge graph (KG)-driven device FD method and applied it to RMFD. First, we proposed a multi-level KG construction method to get multi-source data based on each level and analyzed the levels that affected the system state. A single-level KG was constructed through data features, and a multilevel KG with a stereostructure was built using a multi-source data fusion model as data support for FD. Se...

Source: uow.edu.au