Apply suggestions from code review

Co-authored-by: Greg Richardson <greg@supabase.io>
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egorandGreg Richardson authored and GitHub committed 2023-09-12 18:20:01 +03:00
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@@ -48,7 +48,7 @@ This benchmark uses the [dbpedia-entities-openai-1M](https://huggingface.co/data
Accuracy was 0.99 for benchmarks.
QPS can also be improved by increasing `m` and `ef_construction`. This will allow you to use a smaller value for `ef_search` and increase QPS. For example, increasing `m` to 32 and `ef_construction` to 80 for 4XL will increase QPS to 1280.
QPS can also be improved by increasing [`m` and `ef_construction`](/docs/guides/ai/going-to-prod#hnsw-understanding-efconstruction--efsearch--and-m). This will allow you to use a smaller value for `ef_search` and increase QPS. For example, increasing `m` to 32 and `ef_construction` to 80 for 4XL will increase QPS to 1280.
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