Vector Similarity Search with Cassandra

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Discover how Apache Cassandra, a powerful wide column store, can be utilized for efficient vector similarity search. In this video, we demonstrate a practical application using the DeepFace package for Python to generate vector embeddings of facial images. By leveraging Apache Cassandra's distributed and fault-tolerant nature, we explore schema design considerations and perform exact nearest neighbor (k-NN) searches on the Cassandra side. Enhance your understanding of vector similarity search and nearest neighbor search. Watch now and take your AI projects to the next level!

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  1. Sefik Ilkin Serengil
  2. Vector similarity search
  3. Apache Cassandra
  4. wide column store
  5. Python
  6. vector embeddings
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Thank you for this informative video! Learning how Apache Cassandra can be used for efficient vector similarity search with the DeepFace package is a game-changer for AI projects.

BulentSiyah
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What if there are a couple of bilion rows in the db? Would you return all of them every time?

papalevies