Ever since large language models (LLMs) exploded onto the scene, executives have felt the urgency to apply them enterprise-wide. Successful use cases such as expedited insurance claims, enhanced ...

The problem: Generative AI Large Language Models (LLMs) can only answer questions or complete tasks based on what they been trained on - unless they’re given access to external knowledge, like your ...

【本文由小黑盒作者@网文成神笔记于04月22日发布，未经许可不得转载！】 2026年4月3日，安德烈·卡帕西（OpenAI联合创始人、特斯拉前人工智能主管，也是“氛围编程”一词的创造者）发布了一条标题为“大语言模型知识库”的推文，讲述了他如今如何利用大语言模型构建个人知识维基，而非仅用于生成代码。 这条推文迅速爆红。

In recent years, knowledge graphs have become an important tool for organizing and accessing large volumes of enterprise data in diverse industries — from healthcare to industrial, to banking and ...

The financial services industry has spent the better part of three years evaluating, piloting, and deploying large language ...

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 ...

Knowledge graph startup Diffbot Technologies Corp., which maintains one of the largest online knowledge indexes, is looking to tackle the problem of hallucinations in artificial intelligence chatbots ...

A TechRadar article noted that nearly 90% of enterprise information (documents, emails, videos) lies dormant in unstructured systems. This "dark data" isn't just neglected; it's a liability. GenAI ...