Unable to pass Byte vector to KnnSearch

[tuslm]

Java API client version

8.17.1

Java version

17

Elasticsearch Version

8.17.1

Problem description

KnnSearch.Builder miss option to pass Byte vector as queryVector parameter.

If a Byte vector is converted to a Float vector, I get the following error:
co.elastic.clients.elasticsearch._types.ElasticsearchException: [es/search] failed: [search_phase_execution_exception] all shards failed

The same request via curl with vector elements as bytes goes through without any issue.

The index is created in the same way as described in the documentation

[l-trotta]

Hello and thank you for the report! Could you please provide an example of the failing knn query? I tried sending a float vector to an index with "element_type": "byte" configured, and it was accepted normally.

[tuslm]

Hi, thanks for a response. Really don't know what I'm doing wrong.

Knn query:

KnnSearch.Builder knnSearch = new KnnSearch.Builder();
			knnSearch.field("data.vector").k(10).numCandidates(100).queryVector(finalVector);

finalVector has same values as in request via curl.

Search request:

SearchRequest.Builder searchRequest = new SearchRequest.Builder();
searchRequest.index("102051");
searchRequest.size(100);

Index mapping:

{
  "102051" : {
    "mappings" : {
      "_size" : {
        "enabled" : true
      },
      "properties" : {
        "_merge_field" : {
          "type" : "join",
          "eager_global_ordinals" : true,
          "relations" : {
            "labels" : "texts"
          }
        },
        "data" : {
          "properties" : {
            "id" : {
              "type" : "keyword"
            },
            "text" : {
              "type" : "text",
              "fields" : {
                "token-count" : {
                  "type" : "token_count",
                  "analyzer" : "sq_text"
                }
              },
              "analyzer" : "sq_text"
            },
            "vector" : {
              "type" : "dense_vector",
              "element_type" : "byte",
              "dims" : 4096,
              "index" : true,
              "similarity" : "cosine"
            }
          }
        }
      }
    }
  }
}

Working curl:
curl -X POST "localhost:9200/102051/_search?pretty" -H 'Content-Type: application/json' -d'{"knn": {"field": "data.vector", "query_vector": [15,18,-46,-58,-10,-77,-112,-85,57,-59,-79,118,-84,-36,-54,-84,-36,-100,-15,-51,-1,-68,-107,-89,88,-114,19,82,-17,6,95,-53,-12,51,-8,91,-79,50,-62,116,115,-12,-5,44,125,88,-124,-36,-91,-46,-127,-14,-65,45,104,-41,5,93,23,-85,55,55,-109,-89,-7,29,-34,67,9,-103,-55,58,94,-82,26,-8,-83,-13,-9,2,94,94,-119,19,-11,-67,17,-67,125,86,-96,-43,116,52,-68,-70,108,48,-111,16,-113,-52,36,0,-112,40,-74,46,62,10,23,-51,-75,1,-105,-114,10,70,48,115,31,35,20,92,116,-113,8,98,7,-83,-11,-126,45,-61,83,-111,102,83,-117,31,64,-23,41,-2,99,67,6,-114,-68,96,104,-9,-55,59,-58,33,43,-11,-43,-122,40,101,52,89,89,20,-102,54,13,96,64,108,-46,-19,-26,-106,53,-103,126,12,-26,-48,-5,-38,90,-59,-76,-76,-120,-54,121,-11,123,37,104,78,-16,5,-69,-38,-21,85,-5,106,-33,-110,-102,-61,36,-32,-7,93,125,57,-14,62,-32,36,83,120,-2,32,73,90,-65,-105,-79,58,123,33,47,-38,-84,35,-72,84,30,-82,-43,-14,8,-69,93,115,117,-64,31,2,-42,-46,-14,98,7,-14,81,-77,-35,34,-54,-70,124,101,-83,23,-102,58,-63,-71,-115,7,-38,89,122,101,1,-16,-120,-88,-95,15,85,-90,-40,-14,-78,103,-52,60,-14,-107,16,93,30,-70,-47,16,-4,78,109,-117,-25,1,32,-121,57,81,-122,-75,-49,-91,-113,-113,-13,-25,107,-20,26,-113,35,-64,55,75,-47,-17,-38,-23,87,-4,82,-80,90,-43,24,98,91,71,-26,-22,113,21,4,-1,93,-91,-35,-99,47,-103,-107,-31,107,-63,21,84,-53,52,-72,117,3,72,93,119,117,18,-108,19,-9,-40,-94,-126,35,-6,45,-97,32,-71,127,-27,40,107,-64,107,-1,51,85,-39,47,17,47,-108,33,-7,126,-117,55,126,-23,120,97,-97,-25,12,-46,56,58,84,-108,-22,-93,-64,-93,105,104,-107,85,43,17,-128,-112,-48,124,122,122,-65,99,-88,-55,116,-112,24,105,-92,-96,-61,35,36,-83,63,-70,-1,121,54,66,-39,-33,68,-22,-83,-97,111,-124,92,41,-91,6,85,9,89,-80,-15,-67,-7,-123,-50,83,75,-95,-101,-38,-20,98,-24,106,80,127,26,-47,-23,-3,-109,-43,109,60,-113,92,-114,31,104,78,-75,57,86,-78,5,-53,-33,121,-69,85,-1,117,-61,11,117,-104,-73,-54,-115,-113,-14,-6,-111,87,-24,-97,94,56,-9,-84,-47,-27,-22,20,-17,81,95,85,9,-6,90,-11,27,-37,-81,-5,-69,86,23,-47,60,-4,103,-53,91,122,0,-9,-83,103,61,98,-112,-32,-30,100,83,-109,-114,-42,-121,-94,3,53,25,-118,-98,33,47,30,-58,42,-80,125,2,11,-27,43,36,-15,121,31,85,-117,44,-26,-93,42,118,-51,-88,16,-48,66,19,-83,-63,-19,-57,-49,-67,79,46,-41,113,-15,121,117,38,-62,53,43,-17,-77,-44,77,-75,24,54,94,-92,-99,74,79,43,-29,-10,-58,-49,124,86,-20,-78,-60,-87,-111,-114,47,-36,119,106,2,-103,-5,-7,-10,25,-84,73,-103,-34,42,6,113,108,-22,36,10,-70,70,-1,71,-26,104,66,-67,-74,-87,-89,-75,57,-25,-31,31,-97,-120,-7,25,-91,20,90,59,25,-63,6,-26,62,-93,-63,67,-81,83,24,-69,109,-74,50,-125,58,-98,91,-25,-35,-119,127,76,-85,59,20,62,-120,34,117,21,-74,24,23,59,27,-62,-57,47,-17,-3,67,-45,21,5,38,-128,95,18,69,-92,33,62,-67,77,24,-36,4,123,117,88,-28,-123,-21,40,87,-79,-121,-82,31,-90,39,127,-21,33,93,-52,-59,115,-69,23,-101,88,110,71,-84,-44,87,-106,28,-11,-117,-83,-89,-26,-113,-46,-94,-49,-101,-16,13,26,-71,-16,13,52,72,8,64,-4,-77,43,41,-24,121,-100,45,-84,53,40,4,53,62,-78,9,26,81,120,18,71,-128,-83,-121,28,-50,59,126,-104,-80,-57,13,-31,-64,96,-43,-59,-104,120,41,-114,127,0,-128,-85,-56,11,93,101,77,15,14,4,-16,99,72,-37,-80,-102,-70,-1,57,-38,111,113,17,-75,-15,9,20,-87,5,99,-122,79,-87,-69,46,-33,-73,127,-128,-113,45,82,-29,109,-21,75,-73,-118,-45,-89,28,120,-2,-118,-20,65,-81,-85,36,-88,-16,-7,-89,16,17,46,66,107,-43,26,-1,41,-36,-104,-107,96,12,107,-80,-44,120,-6,98,-8,-35,39,86,5,80,-41,47,-114,-62,86,58,98,-83,58,-87,35,-36,-99,-48,-30,-83,112,26,17,97,39,75,17,85,89,113,20,-90,-86,93,-12,91,45,84,39,64,115,-16,58,127,-14,-46,1,-120,-68,100,83,58,-100,-3,2,-111,-77,-3,98,-107,-125,71,122,18,88,5,-37,119,123,-93,-41,77,64,9,-11,117,91,-32,-99,77,83,38,-72,-22,-80,96,-82,-77,55,-118,77,-72,65,-30,-61,-94,83,-45,56,-76,11,-116,-34,-76,41,-78,75,90,-82,-106,105,-30,22,95,68,-87,87,-109,117,0,19,9,19,65,-71,31,-98,-72,-120,124,77,-114,6,-73,-54,18,-46,90,110,-57,78,107,66,-35,113,-25,-128,45,120,67,-52,-126,67,5,-111,-110,78,33,69,93,-67,82,-89,20,-74,86,-21,117,-37,-119,19,-28,17,92,99,-74,-44,104,-110,105,75,86,-128,47,-30,-124,-61,78,35,-62,-63,-13,57,90,-112,127,111,-6,44,-29,73,121,46,29,-49,53,-24,30,-27,44,-47,-16,94,114,-37,-55,110,67,0,30,-47,-48,-21,127,125,67,16,33,120,114,-20,60,105,-17,-47,-64,106,-55,-53,12,6,-14,76,-72,-7,70,-27,43,25,79,33,-26,-88,-87,117,53,-113,20,-114,14,113,-5,77,-81,99,33,31,-47,-17,-121,35,-125,95,66,22,13,84,-82,29,88,2,-54,40,68,49,87,-111,88,-70,-105,44,-11,-99,1,72,-44,92,-9,-14,48,-45,-15,122,-86,80,0,-43,-34,-111,-114,-1,-70,-119,108,-122,71,21,-13,89,22,8,-21,51,-45,-103,-4,74,-36,46,21,-74,-2,117,-80,-53,65,-3,-21,92,81,-41,-28,-106,81,114,102,-13,103,-8,-72,98,-52,-112,73,53,49,-3,118,20,23,-16,0,107,26,25,-74,76,37,-103,46,-125,88,-70,-121,69,37,-4,106,11,63,96,-59,46,-14,83,98,-47,-27,-45,-62,126,5,-122,-104,-124,-70,-81,90,102,55,84,-57,123,-18,-6,-78,119,-103,-87,-8,13,123,-113,-80,-94,-97,22,120,117,0,-32,-98,80,102,-125,2,104,64,-43,35,47,-103,-54,74,80,77,-108,-99,79,98,-127,-60,47,1,-71,66,-28,-32,-29,14,-84,103,-83,116,49,62,-18,8,-52,86,-40,-30,17,68,22,120,-41,71,22,-13,11,42,113,-39,42,52,65,-24,2,-70,-77,29,-81,-35,124,-11,104,-17,63,60,51,-58,-20,68,67,-42,-44,-91,-50,74,111,99,10,-27,114,61,2,-21,-102,13,-95,-38,-112,109,119,19,87,-110,41,41,84,105,66,-45,-105,-111,-94,30,11,7,115,82,56,-68,-108,60,88,-75,-34,-39,-45,-38,106,108,-19,102,61,-120,73,-47,52,-128,13,-48,-1,77,62,73,58,-39,38,-110,70,127,-93,82,-9,0,39,72,52,-87,68,98,-123,-126,-125,23,18,-74,7,-16,15,97,24,104,125,3,28,76,-107,-50,-7,-19,83,-13,80,110,120,76,-94,-30,83,14,-96,-46,-123,-110,37,85,-51,-97,-92,-30,-83,-92,-96,15,26,-120,98,-42,-125,-114,-57,11,63,-38,36,25,-86,43,55,-2,101,95,-109,-58,-88,-99,-75,-42,46,72,-90,-69,54,-108,-83,64,60,-16,79,-120,55,-45,12,51,42,113,36,8,45,-78,-4,82,-96,-63,-25,-46,65,68,-47,44,-102,43,-112,-55,65,-8,-108,53,121,-123,6,98,12,-39,12,-120,83,-93,90,105,104,48,-73,-27,4,-88,93,94,-79,93,3,92,-16,8,-108,62,35,85,15,46,117,115,38,41,-71,-6,46,-37,102,-52,-79,-5,-126,108,-12,74,29,114,-122,-1,-101,-44,-60,-101,-117,-120,-86,-65,-15,-73,58,63,-61,41,-7,15,54,83,118,-79,50,40,46,50,-61,64,43,-74,49,-56,-14,37,-84,-17,-114,49,-60,-99,119,118,-107,-34,-99,81,-67,4,-92,-1,70,68,-58,102,-122,55,-41,74,-20,-73,-4,-12,126,-59,101,-36,116,-61,10,73,73,73,107,94,-51,-23,116,6,28,-91,-39,40,86,-28,-112,89,98,76,-117,-90,-102,-64,-64,-62,-19,15,-28,79,-50,50,-119,-108,-46,66,-34,-35,105,-54,-32,28,-16,-13,-18,-45,74,96,-61,-99,62,82,-68,77,-56,26,-89,81,26,-117,126,81,5,-74,71,-87,16,-36,-1,-128,29,62,-125,61,41,79,20,-34,-63,-96,123,33,93,-88,81,-64,-72,-3,-68,-44,-50,126,-26,-101,120,-107,37,-59,-37,-93,-86,-8,-81,-53,-118,-22,19,84,-122,94,52,-98,104,64,-58,-55,-108,-99,93,-88,118,-9,-111,35,-117,-97,-38,39,-88,63,-50,74,-63,-64,-8,82,-59,-80,75,87,-81,-16,-116,33,77,-120,-50,12,-26,-112,100,-21,-38,-112,96,84,-95,39,-62,65,64,11,-62,-25,92,-22,88,-8,-88,95,99,-27,52,-11,89,-116,-69,-38,122,-59,-9,32,-47,63,-37,-128,-17,94,97,20,98,79,-122,124,78,116,-27,35,-69,-21,123,-26,-128,88,46,-23,72,-70,119,32,-5,-22,86,73,-116,89,-110,-2,31,-6,71,17,-60,56,0,-4,19,1,-101,-19,3,122,-53,43,1,20,-116,-121,-25,-54,25,14,1,-10,68,-69,-101,33,-86,98,-55,23,-26,-70,81,-1,7,106,93,-27,-35,-8,73,-42,-33,73,-1,-120,8,32,42,-34,124,25,-23,-118,-123,-69,3,-20,24,-102,-46,111,45,-96,115,-123,-89,-125,33,-14,34,98,-52,32,119,118,-79,-44,-36,-86,119,116,71,59,127,79,51,-59,-65,1,-126,76,18,35,91,122,64,62,-124,78,22,-47,-66,75,-56,23,11,-40,107,-121,-44,93,-17,98,-57,-24,-35,124,-35,-55,-9,21,-15,-98,48,-88,-32,-27,48,-48,-115,-53,-92,92,117,-19,4,-49,-120,23,39,-64,67,47,-75,-54,17,119,-43,67,8,80,-54,-115,19,49,126,110,3,80,-55,12,57,43,-33,-81,-106,6,-117,-80,-15,-52,-41,95,-27,-50,74,-33,98,-79,-116,70,113,4,102,34,-64,90,24,-11,-106,15,16,-56,63,120,119,12,-82,54,9,87,-78,100,-40,90,11,-60,60,-84,33,-90,0,48,-114,127,27,104,-14,-114,-36,-93,-112,-125,21,31,-33,-124,38,17,44,118,-95,-98,-39,-118,97,81,92,115,-118,102,-27,47,-87,-104,121,28,60,-3,28,5,-113,-13,-20,-120,-36,-118,63,-37,-95,68,119,32,-11,76,39,-32,-65,-71,24,-22,48,22,82,29,-35,82,14,-124,80,-3,-113,77,112,111,-62,-66,4,-100,-73,53,2,-109,-62,-106,-88,51,-85,48,78,-18,-13,5,-114,79,40,-7,67,-83,85,119,-22,-61,78,-128,-48,-93,-61,56,-94,-39,76,93,-105,-121,-46,118,-98,-9,-3,4,34,-77,119,91,112,72,21,-119,-70,-110,-56,52,-113,115,45,53,112,26,-20,89,-53,105,-73,-93,-66,40,-16,42,6,75,17,-11,-54,121,55,8,0,35,44,23,-125,124,-117,-110,-122,-21,-32,-40,-23,-4,-15,-51,58,-20,-45,32,-101,-108,-69,70,28,-98,-20,-123,-120,74,21,80,0,126,84,-99,100,22,63,-118,116,-59,-15,113,34,-42,-38,74,122,-34,79,-27,117,-67,-8,-105,87,-114,-101,-80,98,84,95,-92,-56,112,-68,-111,52,56,-123,36,-51,-62,43,-86,-65,-87,5,39,-116,-1,48,-113,4,20,85,38,101,-125,-38,103,17,-98,-95,-98,59,-52,-25,-1,127,-25,-31,-13,0,19,93,40,-69,15,-31,-82,-1,-45,-92,-97,21,-19,-98,-114,-43,60,-7,-126,15,125,94,84,6,-127,-104,-125,8,82,-75,109,26,93,12,-3,87,126,-26,-63,65,55,118,55,79,0,-35,-17,110,-49,3,-98,-84,28,-51,-97,41,-112,-2,72,36,24,71,-126,62,-69,-72,82,-12,-114,29,-96,-6,-106,36,126,-128,-105,49,-11,90,-46,-105,111,101,-26,-74,-127,-95,-56,-108,-4,124,-51,-123,-71,123,-57,20,59,38,26,-101,-17,-16,-35,9,-66,-51,41,122,98,25,37,-101,-116,-106,58,8,-127,-107,8,82,98,-25,55,-24,72,-109,-66,-88,100,127,-90,3,122,-109,-25,-66,-51,74,-17,89,11,88,-75,118,-67,-77,38,-67,74,80,39,-100,-53,-36,-87,-3,-110,93,-86,20,38,-33,67,-37,58,47,36,-3,42,36,-62,-89,14,60,-40,75,76,17,-94,-77,36,112,-32,62,-123,-112,-74,-49,-17,-45,-92,43,-85,-50,-116,109,68,29,83,-8,-11,3,114,-5,46,100,-33,40,61,-81,58,8,-45,-24,-8,81,120,-59,-68,98,3,88,56,-115,-109,107,-74,15,100,-22,78,-77,1,42,9,-14,23,0,59,-89,-41,62,-90,-65,-57,-93,-48,-5,26,-119,-113,10,-91,58,-20,86,36,-118,47,-77,51,66,-103,18,48,-95,-119,-28,94,-74,86,-121,102,-111,116,-8,50,-112,109,61,87,76,-120,74,13,-110,84,-24,78,-38,-35,14,93,-8,102,52,-98,-116,97,-12,-9,-26,52,88,18,35,-16,27,-23,109,23,72,10,-87,-17,-36,89,-54,57,20,-15,5,-90,88,-23,-36,82,-68,24,20,16,43,87,-35,-51,51,95,-128,35,68,-128,30,98,107,119,18,27,-121,-50,122,-106,-123,3,-25,-87,25,-5,-95,100,-63,26,54,-12,-108,-3,-39,114,86,-57,-74,77,-88,48,-71,-60,27,-70,44,-94,109,-74,-126,-44,-16,-18,62,-53,-25,116,63,20,117,-121,7,-64,29,-31,45,106,-79,-52,112,16,-39,-16,58,-83,74,100,79,-13,117,-41,59,-7,110,5,-117,-45,-54,19,-93,-16,-27,104,47,-25,61,118,122,-28,69,0,121,10,-47,-43,27,-49,-93,72,94,62,-126,-63,66,-32,-98,-94,-21,-9,9,-116,-7,-117,-41,-16,31,-3,-59,-71,56,40,-42,93,-93,-97,72,18,-92,97,16,49,-113,19,-72,109,-14,61,-5,122,-74,125,-28,-111,-91,-85,52,-113,-125,-58,-52,-6,-114,-125,-28,-98,-56,-38,-107,73,-37,-1,-42,12,-106,86,-73,127,117,32,-96,-1,105,122,-54,57,51,48,-22,-50,24,115,86,-124,58,123,3,8,-75,48,48,-27,74,-46,-21,110,-21,20,-2,55,35,73,-48,-13,-2,112,-27,-85,-15,-15,31,40,-1,124,-22,85,-18,-4,34,69,-51,-87,-63,16,-16,121,-84,-116,-82,3,41,42,124,-13,97,-34,-91,33,14,-122,87,-61,109,52,-80,-109,31,-4,-108,8,64,67,50,-99,16,100,57,121,-102,91,73,-23,-125,-110,15,-21,-12,104,26,-78,11,-46,7,23,-54,0,21,88,-38,-75,-38,81,-22,-82,-101,-97,-46,68,-112,28,10,38,-105,96,-122,-20,98,15,-82,71,119,-85,-35,88,3,-46,117,68,122,-51,-34,-126,-87,-40,116,-123,53,2,-42,1,55,-100,-90,3,-67,48,-61,0,-18,29,46,74,84,-2,-121,-113,85,7,57,-2,-98,-115,-87,67,-92,-128,42,-73,91,-105,37,-67,21,119,6,-19,48,105,-6,62,-102,10,22,15,30,-127,-35,-7,14,10,-49,-75,-48,26,16,25,-76,-91,73,-78,-34,39,104,-70,-83,-54,85,64,-13,2,-42,-71,-118,55,-65,120,-51,40,90,-61,3,-127,84,-77,-18,-2,-106,93,2,-52,-110,38,-65,-127,13,-89,101,-71,-61,-105,44,-91,-20,49,63,106,13,-54,80,73,90,-18,-41,-94,115,122,-29,86,37,122,113,-18,-93,-65,-74,-52,94,118,-18,-124,-37,-16,-99,124,36,15,-17,36,-27,67,-21,-57,-111,-83,83,-61,8,111,76,59,35,78,0,113,33,81,111,-93,72,-84,-6,-118,18,-40,44,47,-95,73,34,-36,107,-17,-121,47,-8,55,0,-103,73,-33,101,-52,97,-122,37,82,108,-12,-92,-60,-57,-74,110,-14,125,-89,6,67,69,48,-107,15,-37,94,-66,64,88,-122,68,74,63,59,-79,19,-32,-7,-97,-28,-57,-93,94,61,112,10,-90,-125,-76,-33,-49,8,-83,6,83,0,81,-72,124,-47,-10,79,84,-78,78,30,-89,-50,-66,-108,24,48,51,72,110,-74,-127,86,-59,-61,-2,-117,-56,20,119,127,-46,125,-20,-46,71,-21,-60,21,122,-50,126,10,-80,86,-1,55,-125,25,82,41,-36,-27,-79,-97,-16,-72,47,-9,77,-7,101,73,49,90,68,-22,100,59,-30,72,-67,121,94,67,-45,58,-13,-122,43,34,23,71,1,32,73,7,44,-66,-86,117,-120,-63,-33,14,97,122,18,127,-105,108,-49,-73,56,-91,-4,33,-6,13,-70,118,-26,-34,-35,-42,-121,0,-68,125,-45,1,-98,6,-68,21,-1,-89,15,-55,97,-89,106,-79,70,-94,-11,-46,1,-22,98,112,9,87,-90,45,-110,-127,56,53,-125,64,-112,46,86,115,-37,6,-81,22,-103,113,-4,111,-18,38,50,114,50,52,91,124,46,23,84,-26,-16,95,-72,12,-110,-14,-39,38,102,13,109,76,108,-61,9,-44,9,-74,-24,68,111,71,-58,-103,-30,40,-63,119,-30,85,124,55,25,120,5,93,-122,44,-124,-22,37,-128,-115,-93,-55,50,-29,-111,-111,5,-38,7,2,84,104,103,38,111,-42,-68,105,-122,56,-88,-4,-58,71,-67,47,58,93,4,74,89,112,119,67,-107,44,77,117,-6,83,-111,126,34,-87,-72,-58,51,48,-63,-59,88,101,106,-119,-6,71,-117,3,-23,-20,89,127,-77,69,-39,-31,26,-3,39,62,80,111,0,-10,-13,-3,10,52,-93,-26,16,-5,-110,-75,-17,111,-117,-66,-43,26,124,-87,-21,6,89,114,-31,3,-32,19,-49,104,-128,-18,93,-110,-36,55,79,91,11,-10,-119,0,-29,-126,-6,76,64,59,17,34,48,-81,64,53,-12,-95,87,-49,18,-96,-80,107,82,62,-127,4,-93,65,-32,-125,100,30,-21,-95,36,124,76,28,19,33,3,60,81,105,53,-96,-93,-121,-103,30,-18,-116,92,98,-74,-28,17,22,15,2,-115,87,-10,90,44,-30,120,34,-125,114,-108,-89,61,-60,73,-19,102,-3,-122,51,-122,67,-15,-9,-73,-22,-36,-98,101,97,93,-53,51,-75,-53,66,76,11,74,96,87,-55,-119,-98,111,3,81,0,-84,48,-56,61,-86,84,82,-92,99,100,116,4,-126,-121,-121,114,70,-11,19,0,-113,35,69,90,-75,-26,81,45,-114,112,-25,-116,97,-52,11,109,-88,-54,85,-79,-74,81,-47,5,50,-1,-24,-108,-5,84,-97,-26,-112,-7,79,23,-121,-17,73,-108,41,-117,64,-36,59,112,-81,-18,94,-98,-73,-44,-51,-20,24,28,28,-46,120,70,27,-38,-126,46,54,-84,-94,50,-11,32,11,77,-21,47,46,35,-52,-59,126,-33,61,-8,15,40,94,-123,4,-42,74,-127,-80,-8,-117,-43,30,-47,-40,29,88,-119,75,125,-46,-8,-52,62,-126,59,117,9,-22,57,37,67,31,62,-111,-62,114,-57,-99,-45,-41,56,3,-20,20,37,45,15,28,1,35,-89,75,38,12,-8,-93,121,87,107,61,-18,-113,-22,-121,-28,-91,122,88,4,-40,-48,-30,85,-75,-9,43,-2,114,39,-128,-108,3,-77,98,45,-33,43,-93,127,39,-9,39,-73,43,-46,-7,111,49,-34,-36,81,37,75,36,-10,79,54,-63,-49,110,-85,-87,-70,-76,8,-121,-51,65,64,-126,-99,-86,-48,107,95,-46,61,-10,-119,101,-121,51,29,120,60,118,-125,65,-32,-72,48,86,15,-71,-100,-26,-110,90,-17,-38,46,49,-27,34,-27,26,102,61,66,27,101,-101,53,48,-36,-76,-128,112,89,66,-123,-3,54,-57,66,-106,35,-41,110,-14,-117,-123,126,19,111,111,73,78,-128,-76,-121,49,90,-38,71,-23,-113,32,28,74,-10,-50,39,36,85,-116,1,-16,-32,59,-121,114,-120,54,99,-119,-119,70,84,-39,11,-81,31,-65,-61,-95,16,-48,-111,32,41,-13,74,-122,37,-24,-56,-83,118,-5,66,-90,14,99],"k": 1,"num_candidates": 100}}'

[l-trotta]

Tried reproducing as closely to your situation, here's the code using version 8.17.1 of the client:

// Creating an index with dense vector field using bytes
// vector dimension 2 for test purposes
esClient.indices().create(c -> c
    .index("test-knn")
    .mappings(m -> m
        .properties("data", p -> p
            .object(o -> o
                .properties(Map.of("id",Property.of(pr -> pr.keyword(k -> k)),
                    "vector",Property.of(pr -> pr
                        .denseVector(d -> d
                            .elementType("byte")
                            .dims(2)
                            .index(true)
                            .similarity("cosine")))))
            ))
));

// Filling the index with some data
esClient.index(i -> i
    .id("1")
    .index("test-knn")
    .withJson(new StringReader("{\n" +
        "          \"data\": {"  +
        "          \"vector\": [\n" +
        "            8,\n" +
        "            -15\n" +
        "          ],\n" +
        "          \"title\": \"alpine lake\"\n" +
        "        }" +
        "        }"))
);

// Array of ints
Integer[] ints = new Integer[]{15,18};

// Converted to floats
List<Float> floats = Arrays.stream(ints).map(Integer::floatValue).collect(Collectors.toList());
KnnSearch.Builder knnSearch = new KnnSearch.Builder();
knnSearch.field("data.vector").k(10).numCandidates(100).queryVector(floats);

SearchRequest.Builder searchRequest = new SearchRequest.Builder();
searchRequest.knn(knnSearch.build());
searchRequest.index("test-knn");
searchRequest.size(100);

esClient.search(searchRequest.build(),Void.class);

This is working fine, so at this point I'm convinced the error isn't related to the byte/float array. Could you catch the exception and retrieve a more specific message? Try catching the ElasticsearchException and then printing response, cause and detailMessage

[tuslm]

Thanks a lot, fault was on my side. It was in wrong conversion from float -> byte -> float.

I apologize for the waste of your time.

I'm closing this issue.

[l-trotta]

no worries, happy this was sorted out :)