One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the ...

Wikidata has built the semantic web backbone supporting knowledge cards in popular engines. Now, it's extending this foundation using a vector database to enhance its existing knowledge graph and ...

Nvidia and AWS have expanded their partnership to make AI cheaper to run at production scale, detailed by Nvidia on June 24.

During its recent Adobe Max 2023 conference a wide variety of new AI features and enhancements were showcased by Adobe some of which are already available to use in its suite of creative applications.

Once you get past the chatbot hype, it’s clear that generative AI is a useful tool, providing a way of navigating applications and services using natural language. By tying our large language models ...

There’s been a debate of sorts in AI circles about which database is more important in finding truthful information in generative AI applications: graph or vector databases. AWS decided to leave the ...

Neo4j Inc. and Microsoft Corp. announced a collaboration today to integrate graph database features into Microsoft’s Fabric and Azure OpenAI services, with an aim to help users uncover patterns and ...

Vector Recoloring generates variations of vector images in different color schemes to help graphic designers select the best version for their project. Vector Recoloring generates variations of vector ...

Through natural language queries and graph-based RAG, TigerGraph CoPilot addresses the complex challenges of data analysis and the serious shortcomings of LLMs for business applications. Data has the ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1 Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including ...