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DeepNewz, mobile.
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The rapid growth in vectorized datasets has led to a race in production-grade vector search technology. Vector databases enable computers to search based on meaning and relationships, not just exact matches. The vector search space is estimated to be a $623.8m market in the next two years.
Beginner's Guide to Vector Databases. This is a FREE live session with Tom Yeh, a Computer Science Professor from the University of Colorado Boulder. April 3, 2024, 10 - 11 am PDT AI developers, don't miss this one! RSVP here: https://t.co/dyAQqXjmSH https://t.co/bMOU6zrxIy
What are so. incredibly. fast... and also estimated to be a $623.8m market in the next two years? Gold star for anyone that correctly guessed vector databases! You may not be familiar with vector DBs, but they have unparalleled efficiency for handling high-dimensional data.… https://t.co/HfPfwlOq6k
What is the future of the vector search space? @svonava shares some thoughts. Check out the VDB comparison matrix to find the right vector search solution for your use case https://t.co/plxTRiexm1 https://t.co/QcvTWjwFS1
