Wikidata has built the semantic web backbone supporting knowledge cards in popular engines. Now, it's extending this foundation using a vector database to enhance its existing knowledge graph and ...

The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...

As enterprises continue to navigate the complexities of digital transformation, connected data is becoming an increasingly common necessity. Connected data is when data assets are linked together to ...

Semantic Web Company and Ontotext announced that the two organizations are merging to create a knowledge graph and AI powerhouse, Graphwise. Semantic Web Company brings expertise in knowledge ...

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 ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1 Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including ...

Generative AI depends on data to build responses to user queries. Training large language models (LLMs) uses huge volumes of data—for example, OpenAI’s GPT-3 used the CommonCrawl data set, which stood ...

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Graph AI closed a $3 million Seed round led by Bessemer to scale Graph Safety — an AI-native platform that automates adverse event processing, signal detection and regulatory reporting in the $8B ...