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    Home»Machine Learning»The Silent Revolution of Embeddings: How Voyage AI Went from Stanford Lab to MongoDB’s $100M AI Engine | by Neural Lab | Neural Lab | May, 2025
    Machine Learning

    The Silent Revolution of Embeddings: How Voyage AI Went from Stanford Lab to MongoDB’s $100M AI Engine | by Neural Lab | Neural Lab | May, 2025

    FinanceStarGateBy FinanceStarGateMay 7, 2025No Comments1 Min Read
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    Everybody talks about LLMs. However the true revolution is hidden within the vectors beneath. That is the untold story of how Voyage AI quietly grew to become an important firm in enterprise AI — by fixing the layer no one else was watching.

    In 2023, the AI world was obsessive about chat. ChatGPT had taken over lecture rooms, boardrooms, and product roadmaps. CEOs have been rebranding their apps with “AI” stickers prefer it was 1999 once more.

    However behind the noise, a Stanford group was centered on a quieter query:

    What if we’ve been constructing the way forward for AI on dangerous information infrastructure?

    Not dangerous information — dangerous understanding.

    So that they wager on a boring however foundational thought: embeddings.

    Not attractive. Not viral. However important.

    And that’s how Voyage AI started — on the layer nobody was watching, however everybody would finally want.

    Embeddings flip human content material — textual content, code, photos — into high-dimensional numbers. However not simply any…



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