The structured data landscape has undergone significant transformation in 2024, driven by the rise of AI-powered search, the growing importance of machine-readable content, and the need to ground ...

Understand the building blocks of knowledge graphs – entities, relationships and attributes – and how they relate to information retrieval. Knowledge graphs are reshaping how we organize and make ...

This allows you to use different syntaxes that can now connect together. Google Search now supports what is called supports syntax graph merge. Essentially this means different syntaxes of structured ...

What if you could transform vast amounts of unstructured text into a living, breathing map of knowledge—one that not only organizes information but reveals hidden connections you never knew existed?

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 ...

Traditional RAG typically retrieves relevant text from a vector database and supplies it to an LLM as context. Automation ...

Google announced that it’s okay to merge two kinds of Schema.org structured data now and that it will validate at the major structured data validators. Now your choices aren’t restricted to ...

For decades, enterprise data infrastructure focused on answering the question: “What happened in our business?” Business intelligence tools, data warehouses, and pipelines were built to surface ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Getting enterprise data into large language models (LLMs) is a critical ...