From version 8.11, you can store multi-vector documents in Elastic Search. It is explained in this blog post.

Example from index creation (copied from the source):

PUT my-long-text-index
{
  "mappings": {
    "properties": {
      "my_long_text_field": {
        "type": "nested", //because there can be multiple vectors per doc
        "properties": {
          "vector": {
            "type": "dense_vector" //the vector used for ranking
          },
          "text_chunk": {
            "type": "text" //the text from which the vector was created
          }
        }
      }
    }
  }
}

Example of data ingestion:

PUT my-long-text-index/_doc/1
{
  "my_long_text_field" : [
    {
      "vector" : [23,14,8],
      "text_chunk" :  "doc 1 chunk 1"
    },
    {
      "vector" : [34,95,17],
      "text_chunk" :  "doc 1 chunk 2"
    }
  ]
}