Image: John Tredennick, Merlin Search Technologies with AI. As law firms and legal departments race to leverage artificial intelligence for competitive advantage, many are contemplating the ...

Retrieval-Augmented Generation (RAG) systems have emerged as a powerful approach to significantly enhance the capabilities of language models. By seamlessly integrating document retrieval with text ...

Artificial intelligence agent and assistant platform provider Vectara Inc. today announced the launch of Open RAG Eval, an open-source evaluation framework for retrieval-augmented generation. RAG is a ...

The rapid advancements in artificial intelligence (AI) have led to the development of powerful large language models (LLMs) that can generate human-like text and code with remarkable accuracy. However ...

A new study from Google researchers introduces "sufficient context," a novel perspective for understanding and improving retrieval augmented generation (RAG) systems in large language models (LLMs).

What if the very method you rely on to simplify information is actually sabotaging your results? Imagine a Retrieval-Augmented Generation (RAG) system tasked with answering a critical question from a ...

But for industries dependent on heavy engineering, the reality has been underwhelming. Engineers ask specific questions about infrastructure, and the bot hallucinates. The failure isn't in the LLM.

Today at VAST Forward 2026, VAST Data, the AI Operating System company, announced an end-to-end, fully CUDA accelerated AI data stack, delivered through an expanded collaboration with NVIDIA. With the ...