Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform ...

The decades-long pursuit to capture, organize and apply the collective knowledge within an enterprise has failed time and again because available software tools were incapable of understanding the ...

Retrieval Augmented Generation (RAG) is supposed to help improve the accuracy of enterprise AI by providing grounded content. While that is often the case, there is also an unintended side effect.

Enterprises are increasingly adopting hybrid AI models that combine generative AI with retrieval, reasoning, and memory modules for specific use cases. RAG fits perfectly into this architecture by ...

Harlem‘s Aaron Henry was tired of wearing a ‘do-rag that left him with headaches and marks on his forehead, commonly created by tying the strings too tightly. So Henry, 34, created the “stringless ‘do ...

NEW YORK – From discovering that retrieval augmented generation (RAG)-based large language models (LLMs) are less “safe” to introducing an AI content risk taxonomy meeting the unique needs of GenAI ...