Searching for irrelevant data also returns results

Currently (using nmslib) while searching for any vector, number of results returned are always the same which are more than the mentioned k(returning from each shard/segment)

In case of incorrect or vector not at all related to the data indexed, the behaviour remains the same. Whereas, the expected would be to return no results.

Can we have a field to accept minimum similarity score to return only results having score more than the minimum similarity score, just like the one provided in ElasticSearch
Or a range, as in how close the scores of the results being returned should be to the best matched result, so as to return less results.

@Ankita This seems like new feature. Can you please create a feature request here: Issues · opensearch-project/k-NN · GitHub

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