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changes.mady.by.user Mick Wever

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changes.mady.by.user Patrick McFadin

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  1. Implement approximate nearest neighbor (ANN) vector search capability in Apache Cassandra using storage-attached indexes (SAI).
  2. Support a vector of float32 embeddings as a new CQL type.
  3. Add ANN search to work with normal Cassandra data flow (insertion, updating, and deleting rows). The implementation should support adding a new vector in log(N) time, and ANN queries in M log(N) time where N is the number of vectors and M is the number of sstables.
  4. Compose with other SAI predicates.
  5. Scatter/gather across replicas, combining topK from each to get global topK.
  6. Enable Apache Cassandra to be the Vector Search component in ML platforms, and intuitive to use for Data Engineers new to Cassandra.

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