生成AI、なかでもRAGの分野で「Knowledge Graph」の注目が高まっている。文書などを構造化することで、生成AIの知識として利用する方法だ。 ベクトル検索方式のRAGと異なり、情報の関係を定義することで、より正確な回答が得られる場合があるのが特徴だ。

We are in an exciting era where AI advancements are transforming professional practices. Since its release, GPT-3 has “assisted” professionals in the SEM field with their content-related tasks.

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 ...

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 ...

WALTHAM, MASSACHUSETTS / ACCESS Newswire / April 4, 2025 / Today at the Bio-IT World Conference & Expo in Boston, Data4Cure, Inc. will present its latest advancements in AI-driven data integration and ...

An app that helps people and teams in the working world simplify their to-do lists — ideally by organizing and doing some of the work for them — has remained one of the unsolved goals in business ...

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 ...

What if the messy, unstructured text clogging your workflows could be transformed into a goldmine of actionable insights? Imagine sifting through mountains of customer reviews, clinical notes, or news ...