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Vector search is an essential element of contemporary machine learning pipelines and AI tools. This talk will share preliminary results on the forthcoming vector storage and search features in ScyllaDB. By leveraging Scylla's scalability and USearch library's performance, we have designed a system with exceptional query latency and throughput. The talk will cover vector search use cases, our roadmap, and a comparison of our initial implementation with other vector databases.
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