Creating a knowledge graph from text involves several key steps. Recent advancements in AI and supporting tools have streamlined this process, making it more efficient and user-friendly: ...

While GraphRAG relies on the reasoning capabilities of LLMs to connect text-based data in a graph of knowledge, the third type of question—those requiring deep reasoning—need more than a GoK.

To stay visible in AI search, your content must be machine-readable. Schema markup and knowledge graphs help you define what ...

This means that the content knowledge graph you’ve built to drive SEO can also be reused to ground LLMs in structured, verified, domain-specific knowledge, reducing the risk of hallucinations.

Cassie Shum, VP of Field Engineering at RelationalAI, joins host Keith Shaw on DEMO to showcase how enterprises can unlock ...

The knowledge graph perspective is very rigid on purpose. It's for complete knowledge. It's to give you everything connected to what you're looking for, as opposed to giving something around this ...

Connect your existing entities to Google’s Knowledge Graph. Entity-based internal linking Instead of relying solely on keywords, use entities as anchor text.

Google’s July 2023 Knowledge Graph update added a layer to the September helpful content update. Google talks about “improved classification,” which is exactly what the Killer Whale update ...