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Evolution of Cassandra's Indexing System in NoSQL Databases
The chapter explores the five-year reconstruction of Cassandra's indexing system to enhance data retrieval capabilities, introducing JVector and later improvements with Colbert for better performance and relevancy. It debates the necessity of a hybrid database with traditional and vector capabilities, showcasing the advantages of JVector over HNSW in handling large datasets and enhancing search results. The discussion delves into the impact of different database implementations on computation cost, search relevancy, and the challenges of sharding in distributed databases with a focus on vectors.