Adding filters to the $vectorSearch aggregation step should improve performance of vectorSearch given that we are searching over a smaller subset of the collection. Especially if those filters are for fields that we have an index for. When testing vectorSearch performance, this is not the case: Our setup: Index exists with type: vectorSearch, Index Fields: fieldA, fieldB, fieldC. Status is Active. Add this filter to the $vectorSearch aggregation step: 'filter': { '$and': [ { ‘fieldA’: value1, ‘fieldB’: False, } ] }, The original query times are as follows: P50 Total Query Time: 2.0953004360198975 P95 Total Query Time: 3.579429221153259 P99 Total Query Time: 3.8835108208656313 The query times when filtering is applied are as follows: P50 Total Query Time: 3.05288302898407 P95 Total Query Time: 4.789729547500606 P99 Total Query Time: 8.064464559555052