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By now, many enterprises have deployed some form of RAG. The promise is seductive: index your PDFs, connect an LLM and instantly democratize your corporate knowledge.

But for industries dependent on heavy engineering, the reality has been underwhelming. Engineers ask specific questions about infrastructure, and the bot hallucinates.

The failure


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San Francisco-based AI lab Arcee made waves last year for being one of the only U.S. companies to train large language models (LLMs) from sc...


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A new open-source framework called PageIndex solves one of the old problems of retrieval-augmented generation (RAG): handling very long documents.

The classic RAG workflow (chunk documents, calculate embeddings, store them in a vector database, and retrieve the top matches b...


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The chief data officer (CDO) has evolved from a niche compliance role into one of the most critical positions for AI deployment. These executives now sit at the intersection of data governance, AI strategy, and workforce readiness. Their decisions determine whether enterprises move from AI pilots to production scale or remain stuck in experimentation mode.

That's why In...


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