Choosing a vector database usually comes down to a tradeoff between a full search service and an in-process library. OpenSearch and LanceDB sit on opposite ends of that spectrum: one runs as a distributed cluster, the other as an embedded file format you query directly from your application. This post benchmarks both on the same workload (287,360 COCO 2017 images embedded with SigLIP 2) measuring ingestion throughput, query latency, storage layout, and AWS cost.
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