Introducing the TQ Data Foundation–the Context Layer for trusted, autonomous agents. [LEARN MORE]
This video showcases the integration of Neo4j with TopBraid EDG, highlighting how this combination bridges different graph technologies to create a unified source of truth.
TopBraid EDG uses vector databases and AI to power advanced linking and search capabilities. Learn how AI-generated vectors enable similarity comparisons between data assets and glossary terms, making it easier to align business and technical metadata. See how this approach strengthens data discovery, governance, and semantic understanding across your organization.
Explores how TopBraid EDG and Neo4j now work together, allowing teams to manage governed knowledge models in EDG and use them in Neo4j for dynamic graph applications.
AI is transforming the financial services industry, promising better risk management, fraud detection, and personalized customer experiences. Yet, despite massive investments, many financial institutions are
Exploring the genre’s evolution, we consider how AI could have streamlined its reclassification—identifying traits, linking artists, and automating playlists.
TopBraid EDG 8.2 empowers organizations to unlock insights from their content, enabling them to build secure, compliant AI applications.
By Steve Hedden The rise of generative AI, specifically large language models (LLM) like ChatGPT, have encouraged almost every enterprise to try to unlock or
A practical overview of how LLMs and knowledge graphs work together—covering KG creation, governance, RAG, and enterprise GenAI pipelines.
Enterprise AI pilots are everywhere—but many fail. Learn how data modeling, ontologies, and governance make GenAI work at scale.
We are hearing the term ‘ontology’ more and more these days from folks less and less in the semantic world. Its exciting but a bit
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