Update Opensearch from 2.19.1 to 3.0.0: error "Sub-iterators of ConjunctionDISI are not on the same document!"

OpenSearch
1

Versions (relevant - OpenSearch/Dashboard/Server OS/Browser):
OpenSearch 3.0.0

Describe the issue:
I need to use hybrid search with inner hits in order to isolate the relevant chunks in a document. I already implemented an index structure that works (each record has a nested field “chunks” that has elements each containing a text field and a knn vector field to keep the chunk’s text and embedding matched). With Opensearch 2.19.1 I was able to use hybrid search to get the record (without the inner hits so I had no information on the chunk that actually matched the search). I also know that the 3.0.0 version includes changes that make retrieving inner hits in hybrid queries possible so I first updated the server without changing the query structure.

Now I have another problem. For some searches, I get the error: “Sub-iterators of ConjunctionDISI are not on the same document!” while doing the exact same thing I was doing before. I found an issue that seems to talk about the error but most of the conversation regards an interval query. Only the last comment mentions hybrid search without further information. I post here the link to the issue:

Example of query that returns the error:

{
  "query": {
    "hybrid": {
      "queries": [
        {
          "nested": {
            "path": "chunks",
            "query": {
              "query_string": {
                "fields":["chunks.text"],
                "query": "tipi~1 AND pagamento~1"
              }
            }
          }
        },
        {
          "nested": {
            "path": "chunks",
            "query": {
              "neural": {
                "chunks.embedding": {
                  "model_id": "sWzKyJYBCnSNyPkYXI9N",
                  "query_text": "tipi di pagamento"
                }
              }
            }
          }
        }
      ]
    }
  }
}

Example of query that work just fine:

{
  "query": {
    "hybrid": {
      "queries": [
        {
          "nested": {
            "path": "chunks",
            "query": {
              "query_string": {
                "fields":["chunks.text"],
                "query": "scheda~1 AND tecnica~1 AND  prodotto~1"
              }
            }
          }
        },
        {
          "nested": {
            "path": "chunks",
            "query": {
              "neural": {
                "chunks.embedding": {
                  "model_id": "sWzKyJYBCnSNyPkYXI9N",
                  "query_text": "scheda tecnica prodotto"
                }
              }
            }
          }
        }
      ]
    }
  }
}

Seeing that the query structure is the same, it seems to be a problem with the records in the result…

Can anyone help?