Introducing Multi-Vector and Scoring Profile integration with Semantic Ranking in Azure AI Search

Multi Vector Support is a great initiative. thank you for sharing this.

a feedback:  I noticed that the Microsoft link https://learn.microsoft.com/en-us/azure/search/vector-search-multi-vector-fieldsmentioned: "A single document can include up to 100 vectors in total, across all complex collection fields. Vector fields can only be nested one level deep." 

however only 10 are allowed?

Error Message: "The document with key 'xxxx' has '92' nested vectors. At most '10' nested vectors are allowed across the entire document. Please remove nested vectors and try indexing the document again.","statusCode":400}

I am using only one complex type in the index with vector nested only one level down... Any suggestion on this would be helpful. Thank you!

{

      "name": "textdata",

      "type": "Collection(Edm.ComplexType)",

      "fields": [

        {

          "name": "contentVector",

          "type": "Collection(Edm.Single)",

          "searchable": true,

          "filterable": false,

          "retrievable": true,

          "stored": true,

          "sortable": false,

          "facetable": false,

          "key": false,

          "dimensions": 3072,

          "vectorSearchProfile": "default",

          "synonymMaps": []

        },

        {

          "name": "contentSplit",

          "type": "Edm.String",

          "searchable": true,

          "filterable": false,

          "retrievable": true,

          "stored": true,

          "sortable": false,

          "facetable": false,

          "key": false,

          "synonymMaps": []

        }

      ]

    }