Multiple Vector Embeddings in one document?

MongoDB Atlas Vector Search
4

Hi,
I have my schema like

{
groupName: “name1”,
messages:[
{“messageId”:101,
“messageText”:“hi there”
“messageEmbedded”:[embedded message data]
},
{“messageId”:102,
“messageText”:“hello”
“messageEmbedded”:[embedded message data]
}
],
}

How can I create search index for my vector embedded message data?

correct this search Index

{
“mappings”: {
“dynamic”: true,
“fields”: {
“messages.messageEmbedded”: {
“dimensions”: 1536,
“similarity”: “cosine”,
“type”: “knnVector”
}
}
}
}