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Yeah, we usually just say vector embeddings are the numerical representation of that piece of unstructured data. This glossary page put it together quite nicely. https://zilliz.com/glossary/vector-embeddings


Yup. Back in time, they wrote an article about cloud repatriation (https://a16z.com/the-cost-of-cloud-a-trillion-dollar-paradox...) and used a very nich use cases to extrapolate to all the cloud workload just to support their own portfolio company. So many people in the industry just thought it was a joke:)


In the past six months since I started to work on the vector database space, I keep hearing from developers that the phase before they can convert unstructured data into vector embeddings is the most challenging part. Hence we released this Pipelines product in public preview, aiming at solvelve this problem. We would really appreciate your feedback and comments to see if this is a viable path.


The 2*2 matrix gives a clear view about the market landscape!


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