It looks like Elasticsearch is currently missing support for concurrent searching and that this is a major prospective optimization to reduce latency.

Digression: this is not the topic at hand but I personally consider the fork OpenSearch to be an historical tragedy of duplication of work and a segregation of improvements. What would be even more anti-utilitarist would be to blindly *ignore* each other advances towards making better search.

Lucene concurrent search APIs are probably among the most important feature/optimization currently not leveraged by Elasticsearch.
The fork OpenSearch has a [pull request](https://github.com/opensearch-project/OpenSearch/pull/1500) implementing support for it.

See also the [corresponding issue](https://github.com/opensearch-project/OpenSearch/issues/1286) 

I believe it would be great for end users if you could take inspiration from the PR and work on this feature.

Great blog about the Lucene feature:
https://blog.mikemccandless.com/2019/10/concurrent-query-execution-in-apache.html?m=1
See also those performance results:
https://engineeringblog.yelp.com/2021/09/nrtsearch-yelps-fast-scalable-and-cost-effective-search-engine.html
server/src/main/java/org/elasticsearch/search/SearchService.java
}
    }
    private long getScrollKeepAlive(Scroll scroll) {
        if (scroll != null && scroll.keepAlive() != null) {
            checkKeepAliveLimit(scroll.keepAlive().millis());
            return scroll.keepAlive().getMillis();
        }
        return defaultKeepAlive;
    }
    private void checkKeepAliveLimit(long keepAlive) {
        if (keepAlive > maxKeepAlive) {
            throw new IllegalArgumentException(
                "Keep alive for request ("
                    + TimeValue.timeValueMillis(keepAlive)
                    + ") is too large. "
                    + "It must be less than ("
                    + TimeValue.timeValueMillis(maxKeepAlive)
                    + "). "
                    + "This limit can be set by changing the ["
                    + MAX_KEEPALIVE_SETTING.getKey()
                    + "] cluster level setting."
            );
        }
    }
    private <T> ActionListener<T> wrapFailureListener(ActionListener<T> listener, ReaderContext context, Releasable releasable) {
        return new ActionListener<>() {
            @Override
            public void onResponse(T resp) {
                Releasables.close(releasable);
                listener.onResponse(resp);