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Update _posts/2025-02-03-Reduce-Cost-with-Disk-based-Vector-Search.md
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Signed-off-by: kolchfa-aws <[email protected]>
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kolchfa-aws authored Feb 6, 2025
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Expand Up @@ -238,7 +238,7 @@ We ran all tests using OpenSearch Benchmark [vector search workloads](https://gi
2. Force merge the index to 5 segments per shard.
3. Run warm-up queries to load the index into memory.
4. Run the single-client latency test.
5. Run the multi-client throughput tests.
5. Run the multi-client throughput test.
6. Repeat steps 4 and 5 with disk-based rescoring disabled to measure performance on a compressed index without rescoring.

We obtained the following large-scale test results.
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