Vector Similarity Search with Cassandra

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!

Tutorial: https://sefiks.com/2021/01/24/deep-face-recognition-with-cassandra/

If you like this video, you may like these:
- Vector Similarity Search with Postgres: https://youtu.be/f41sLxn1c0k
- Vector Similarity Search with MongoDB: https://youtu.be/dmprgum9Xu8
- Vector Similarity Search with Neo4j: https://youtu.be/X-hB2kBFBXs
- Vector Similarity Search with Redis: https://youtu.be/X7DSpUMVTsw

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Видео Vector Similarity Search with Cassandra канала Sefik Ilkin Serengil