@azure/search-documents ts bug

[FrancescoSaverioZuppichini]

• Package Name: @azure/search-documents
• Package Version: 12.1.0
• Operating system: Mac os
• nodejs
  • version: 22
• browser
  • name/version:
• typescript
  • version: ^5
• Is the bug related to documentation in
  • README.md
  • source code documentation
  • SDK API docs on https://learn.microsoft.com

Describe the bug
Trying to use the documentation but I have ts errors

To Reproduce
Steps to reproduce the behavior:

1. Install the package

import {
  AzureKeyCredential,
  SearchClient,
  SearchIndexClient,
} from "@azure/search-documents"

const indexClient = new SearchIndexClient(
  "asd",
  new AzureKeyCredential("asd")
)
async function main() {
  const result = await indexClient.createIndex({
    name: "documents",
    fields: [
      {
        type: "Edm.String",
        name: "id",
        key: true,
      },
      {
        type: "Edm.String",
        name: "segmentId",
      },
      {
        type: "Edm.String",
        name: "content",
        searchable: true,
      },
      {
        name: "vector",
        type: "Collection(Edm.Single)",
        searchable: true,
        retrievable: false,
        stored: false,
        dimensions: 1536,
        vectorSearchProfile: "vector-profile-1",
      },
      {
        type: "Edm.ComplexType",
        name: "metadata",
        fields: [
          {
            type: "Collection(Edm.String)",
            name: "tags",
            searchable: true,
          },
        ],
      },
      {
        type: "Edm.Int32",
        name: "hiddenWeight",
        hidden: true,
      },
    ],
    vectorSearch: {
      compressions: [
        {
          name: "scalar-quantization",
          kind: "scalarQuantization",
          rerankWithOriginalVectors: true,
          defaultOversampling: 10.0,
          scalarQuantizationParameters: {
            quantizedDataType: "int8",
          },
        },
        {
          name: "binary-quantization",
          kind: "binaryQuantization",
          rerankWithOriginalVectors: true,
          defaultOversampling: 10.0,
        },
      ],
      algorithms: [
        {
          name: "hnsw-1",
          kind: "hnsw",
          hnswParameters: {
            m: 4,
            efConstruction: 400,
            efSearch: 500,
            metric: "cosine",
          },
        },
        {
          name: "hnsw-2",
          kind: "hnsw",
          hnswParameters: {
            m: 8,
            efConstruction: 800,
            efSearch: 800,
            metric: "hamming",
          },
        },
        {
          name: "eknn",
          kind: "exhaustiveKnn",
          exhaustiveKnnParameters: {
            metric: "euclidean",
          },
        },
      ],
      profiles: [
        {
          name: "vector-profile-hnsw-scalar",
          compression: "scalar-quantization",
          algorithm: "hnsw-1",
        },
      ],
    },
  })

  console.log(result)
}

main()

Expected behavior
The code copied and pasted from the doc should not have ts errors

Screenshots
If applicable, add screenshots to help explain your problem.

Additional context
Thanks a lot

[FrancescoSaverioZuppichini]

btw following vscode hints when typing, this works

{      name: "documents",
      fields: [
        {
          type: "Edm.String",
          name: "id",
          key: true,
        },
        {
          type: "Edm.String",
          name: "segmentId",
        },
        {
          type: "Edm.String",
          name: "content",
          searchable: true,
        },
        {
          name: "vector",
          type: "Collection(Edm.Single)",
          searchable: true,
          stored: false,
          vectorSearchDimensions: 1536,
          vectorSearchProfileName: "vector-profile-hnsw-scalar",
        },
        {
          type: "Edm.ComplexType",
          name: "metadata",
          fields: [
            {
              type: "Collection(Edm.String)",
              name: "tags",
              searchable: true,
            },
          ],
        },
        {
          type: "Edm.Int32",
          name: "hiddenWeight",
          hidden: true,
        },
      ],
      vectorSearch: {
        compressions: [
          {
            compressionName: "scalar-quantization",
            kind: "scalarQuantization",
            rerankWithOriginalVectors: true,
            defaultOversampling: 10.0,
            parameters: {
              quantizedDataType: "int8",
            },
          },
        ],
        algorithms: [
          {
            name: "hnsw",
            kind: "hnsw",
            parameters: {
              m: 4,
              efConstruction: 400,
              efSearch: 500,
              metric: "cosine",
            },
          },
        ],
        profiles: [
          {
            name: "vector-profile-hnsw-scalar",
            compressionName: "scalar-quantization",
            algorithmConfigurationName: "hnsw",
          },
        ],
      },
}