Retrieval-augmented generation is a standard way to ground large language models in enterprise information, but new research ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this eMag, we try to establish agentic AI ...

We are in an exciting era where AI advancements are transforming professional practices. Since its release, GPT-3 has “assisted” professionals in the SEM field with their content-related tasks.

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

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

Before adopting Graph-RAG copilots for piping and instrumentation design, chemical process firms need data governance, safety ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

According to the latest analysis by Future Market Insights, the AI-Ready Enterprise Knowledge Graph Market is poised for exceptional growth ...