Since the recall/latency tradeoff is a crucial one in vector search, we wanted to allow the user some flexibility in which way they wanted to lean.

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The post discusses the introduction of vector search (KNN) in the existing search paradigm, the difference between vector search and text-based search, the impact of increasing centroids on recall, and how to tune a Couchbase vector index.

Vector Search Performance: The Rise of Recall

How Much (Approximation) is Too Much (Approximation): Driving Recall from 0.06 to 90+: