Step 4. Invoke the process

1. 1Open the Azure AI search ingestion Automation with ADLS process and click Actions > Properties Details > Copy Service URL.
2. 2Open Postman.
3. 3Select the HTTP verb as POST and specify the generated REST service URL and payload as shown in the following image:

Here is the sample payload:
{
"inputIndexName": "reviews",
"inputApiVersion": "2024-07-01",
"inputSearchDetails": {
},
"inputIndexDetails": {
"name": "reviews",
"fields": [
{
"name": "id",
"type": "Edm.String",
"searchable": true,
"filterable": true,
"retrievable": true,
"stored": true,
"sortable": true,
"facetable": true,
"key": true
},
{
"name": "Location",
"type": "Edm.String",
"searchable": true,
"filterable": true,
"retrievable": true,
"stored": true,
"sortable": true,
"facetable": true
},
{
"name": "Review",
"type": "Edm.String",
"searchable": true,
"filterable": true,
"retrievable": true,
"stored": true,
"sortable": true,
"facetable": true
},
{
"name": "Date",
"type": "Edm.String",
"searchable": true,
"filterable": true,
"retrievable": true,
"stored": true,
"sortable": true,
"facetable": true
},
{
"name": "vectorcontent",
"type": "Collection(Edm.Single)",
"searchable": true,
"filterable": false,
"retrievable": true,
"stored": true,
"sortable": false,
"facetable": false,
"key": false,
"dimensions": 1536,
"vectorSearchProfile": "vector-profile-1727966526693"
}
],
"similarity": {
"@odataType": "#Microsoft.Azure.Search.BM25Similarity"
},
"semantic": {
"configurations": [
{
"name": "default",
"prioritizedFields": {
"titleField": {
"fieldName": "Review"
},
"prioritizedContentFields": [
{
"fieldName": "Review"
}
],
"prioritizedKeywordsFields": []
}
}
]
},
"vectorSearch": {
"algorithms": [
{
"name": "vector-config-1727966528896",
"kind": "hnsw",
"hnswParameters": {
"metric": "cosine",
"m": 4,
"efConstruction": 400,
"efSearch": 500
}
}
],
"profiles": [
{
"name": "vector-profile-1727966526693",
"algorithm": "vector-config-1727966528896",
"vectorizer": "vectorizer-1727966531637",
"compression": "vector-1727966521527-compressor"
}
],
"vectorizers": [
{
"name": "vectorizer-1727966531637",
"kind": "azureOpenAI",
"azureOpenAIParameters": {
"resourceUri": "https://chatgptopenaiseas.openai.azure.com",
"deploymentId": "adavectordb",
"apiKey": "5df4e4f520ed4e6f810f0eb070a09680",
"modelName": "text-embedding-ada-002"
}
}
],
"compressions": [
{
"name": "vector-1727966521527-compressor",
"kind": "scalarQuantization",
"rerankWithOriginalVectors": true,
"defaultOversampling": 4,
"scalarQuantizationParameters": {
"quantizedDataType": "int8"
}
}
]
}
},
"inputDataSourceDetails": {
"name": "reviews-datasource",
"description": "review datasource",
"type": "adlsgen2",
"credentials": {
"connectionString": "DefaultEndpointsProtocol=https;AccountName=<Search_Index_Host>;AccountKey=<Account_Key>;EndpointSuffix=core.windows.net"
},
"container": {
"name": "reviews"
}
},
"inputIndexerDetails": {
"name": "review-indexer",
"description": "review indexer",
"dataSourceName": "reviews-datasource",
"targetIndexName": "reviews",
"parameters": {
"configuration": {
"dataToExtract": "contentAndMetadata",
"parsingMode": "default"
}
}
}
}

For more information about the index, indexer, skillset, and data source, see the Azure documentation.
4. 4Enter the user account details on the Authorization tab.
5. 5Click Send.