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Things are moving quickly in AI — and if you're not keeping up, you're falling behind. Two recent developments are reshaping the landscape for developers and enterprises alike: DeepSeek's R1 model ...

Our friends at Legaltech News joined an emerging industry discussion earlier this month with an interesting story regarding retrieval augmented generation… Our friends at Legaltech News joined an ...

To date, much of the early conversation about putting AI into production at scale has centered on the need for good prompt engineering — the ability to ask the right questions of this powerful ...

What if the way we retrieve information from massive datasets could mirror the precision and adaptability of human reading—without relying on pre-built indexes or embeddings? OpenAI’s latest ...

RAG is an approach that combines Gen AI LLMs with information retrieval techniques. Essentially, RAG allows LLMs to access external knowledge stored in databases, documents, and other information ...

Chroma’s Context-1 is a 20B retrieval-augmented model that beats ChatGPT 5 on search, using agentic loops to improve relevance at low latency.

Many EDA companies have taken the first steps to incorporate generative AI into their tools, and in such tightly controlled environments GenAI appears to have great benefits. But its broader adoption ...

In the world of Retrieval Augmented Generation (RAG) for enterprise AI, embedding models are critical. It is the embedding model that essentially translates different types of content into vectors, ...

Alexander Slagg is a freelance writer specializing in technology and education. He is an ongoing contributor to the CDW family of magazines. Agencies awash in oceans of data might seem like an ideal ...