What is Retrieval-Augmented Generation (RAG)? Retrieval-Augmented Generation (RAG) is an advanced AI technique combining language generation with real-time information retrieval, creating responses ...

COMMISSIONED: Retrieval-augmented generation (RAG) has become the gold standard for helping businesses refine their large language model (LLM) results with corporate data. Whereas LLMs are typically ...

Large language models (LLMs) like OpenAI’s GPT-4 and Google’s PaLM have captured the imagination of industries ranging from healthcare to law. Their ability to generate human-like text has opened the ...

Retrieval Augmented Generation: What It Is and Why It Matters for Enterprise AI Your email has been sent DataStax's CTO discusses how Retrieval Augmented Generation (RAG) enhances AI reliability, ...

Widespread amazement at Large Language Models' capacity to produce human-like language, create code, and solve complicated ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Have you ever found yourself frustrated by how even the smartest AI systems sometimes fall short when faced with truly complex problems? Whether it’s navigating intricate financial decisions, ...

The idea of the Instructed Retriever architecture is that it turns these implied conditions into explicit search parameters.

Wanted: Chief Disinformation Officer to pollute company knowledge graphs Researchers affiliated with universities in China ...

India is emerging as a large-scale real-world testing ground for consumer AI platforms, giving global AI companies critical ...