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Merge pull request #6316 from HeidiSteen/heidist-freshness
Fixed typos
2 parents 4712b06 + 8ebc06c commit b9be697

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3 files changed

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‎articles/search/tutorial-document-extraction-image-verbalization.md‎

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@@ -119,7 +119,7 @@ For authenticated connections that occur during indexer and skillset processing,
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@openAIKey = PUT-YOUR-OPENAI-KEY-HERE
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@chatCompletionResourceUri = PUT-YOUR-CHAT-COMPLETION-URI-HERE
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@chatCompletionKey = PUT-YOUR-CHAT-COMPLETION-KEY-HERE
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@imageProjectionContainer=PUT-YOUR-IMAGE-PROJECTION-CONTAINER-HERE
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@imageProjectionContainer=sustainable-ai-pdf-images
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```
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1. Save the file using a `.rest` or `.http` file extension. For help with the REST client, see [Quickstart: Full-text search using REST](search-get-started-text.md).
@@ -293,7 +293,7 @@ POST {{searchUrl}}/indexes?api-version=2025-05-01-preview HTTP/1.1
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{
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"name": "hnsw",
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"algorithm": "defaulthnsw",
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"vectorizer": "{{vectorizer}}"
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"vectorizer": "demo-vectorizer"
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}
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],
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"algorithms": [
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],
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"vectorizers": [
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{
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"name": "{{vectorizer}}",
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"name": "demo-vectorizer",
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"kind": "azureOpenAI",
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"azureOpenAIParameters": {
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"resourceUri": "{{openAIResourceUri}}",
@@ -497,7 +497,7 @@ POST {{searchUrl}}/skillsets?api-version=2025-05-01-preview HTTP/1.1
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{
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"@odata.type": "#Microsoft.Skills.Util.ShaperSkill",
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"name": "shaper-skill",
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"description": "Shaper skill to reshape the data to fit the index schema"
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"description": "Shaper skill to reshape the data to fit the index schema",
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"context": "/document/normalized_images/*",
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"inputs": [
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{
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"indexProjections": {
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"selectors": [
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{
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"targetIndexName": "{{index}}",
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"targetIndexName": "doc-extraction-image-verbalization-index",
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"parentKeyFieldName": "text_document_id",
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"sourceContext": "/document/pages/*",
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"mappings": [
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]
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},
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{
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"targetIndexName": "{{index}}",
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"targetIndexName": "doc-extraction-image-verbalization-index",
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"parentKeyFieldName": "image_document_id",
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"sourceContext": "/document/normalized_images/*",
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"mappings": [
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},
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"knowledgeStore": {
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"storageConnectionString": "{{storageConnection}}",
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"identity": null,
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"projections": [
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{
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"files": [

‎articles/search/tutorial-document-layout-image-verbalization.md‎

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Original file line numberDiff line numberDiff line change
@@ -136,7 +136,7 @@ For authenticated connections that occur during indexer and skillset processing,
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@openAIKey = PUT-YOUR-OPENAI-KEY-HERE
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@chatCompletionResourceUri = PUT-YOUR-CHAT-COMPLETION-URI-HERE
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@chatCompletionKey = PUT-YOUR-CHAT-COMPLETION-KEY-HERE
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@imageProjectionContainer=PUT-YOUR-IMAGE-PROJECTION-CONTAINER-HERE
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@imageProjectionContainer=sustainable-ai-pdf-images
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```
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1. Save the file using a `.rest` or `.http` file extension. For help with the REST client, see [Quickstart: Full-text search using REST](search-get-started-text.md).
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{
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"name": "hnsw",
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"algorithm": "defaulthnsw",
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"vectorizer": "{{vectorizer}}"
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"vectorizer": "demo-vectorizer"
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}
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],
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"algorithms": [
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],
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"vectorizers": [
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{
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"name": "{{vectorizer}}",
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"name": "demo-vectorizer",
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"kind": "azureOpenAI",
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"azureOpenAIParameters": {
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"resourceUri": "{{openAIResourceUri}}",
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"deploymentId": "text-embedding-3-large",
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"searchApiKey": "{{openAIKey}}",
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"apiKey": "{{openAIKey}}",
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"modelName": "text-embedding-3-large"
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}
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}
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api-key: {{searchApiKey}}
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{
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"name": "doc-intelligence-image-verbalization-skillset",
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"description": "A sample skillset for multi-modality using image verbalization",
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"skills": [
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{
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],
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"resourceUri": "{{openAIResourceUri}}",
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"deploymentId": "text-embedding-3-large",
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"searchApiKey": "",
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"apiKey": "{{openAIKey}}",
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"dimensions": 3072,
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"modelName": "text-embedding-3-large"
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},
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{
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"@odata.type": "#Microsoft.Skills.Custom.ChatCompletionSkill",
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"uri": "{{chatCompletionResourceUri}}",
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"timeout": "PT1M",
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"searchApiKey": "",
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"apiKey": "{{chatCompletionKey}}",
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"name": "genAI-prompt-skill",
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"description": "GenAI Prompt skill for image verbalization",
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"context": "/document/normalized_images/*",
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],
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"resourceUri": "{{openAIResourceUri}}",
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"deploymentId": "text-embedding-3-large",
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"searchApiKey": "",
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"apiKey": "{{openAIKey}}",
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"dimensions": 3072,
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"modelName": "text-embedding-3-large"
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},
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"indexProjections": {
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"selectors": [
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{
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"targetIndexName": "{{index}}",
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"targetIndexName": "doc-intelligence-image-verbalization-index",
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"parentKeyFieldName": "text_document_id",
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"sourceContext": "/document/text_sections/*",
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"mappings": [
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]
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},
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{
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"targetIndexName": "{{index}}",
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"targetIndexName": "doc-intelligence-image-verbalization-index",
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"parentKeyFieldName": "image_document_id",
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"sourceContext": "/document/normalized_images/*",
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"mappings": [
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},
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"knowledgeStore": {
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"storageConnectionString": "{{storageConnection}}",
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"identity": null,
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"projections": [
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{
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"files": [

‎articles/search/tutorial-document-layout-multimodal-embeddings.md‎

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Original file line numberDiff line numberDiff line change
@@ -110,11 +110,9 @@ For authenticated connections that occur during indexer and skillset processing,
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@searchUrl = PUT-YOUR-SEARCH-SERVICE-ENDPOINT-HERE
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@searchApiKey = PUT-YOUR-ADMIN-API-KEY-HERE
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@storageConnection = PUT-YOUR-STORAGE-CONNECTION-STRING-HERE
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@openAIResourceUri = PUT-YOUR-OPENAI-URI-HERE
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@openAIKey = PUT-YOUR-OPENAI-KEY-HERE
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@chatCompletionResourceUri = PUT-YOUR-CHAT-COMPLETION-URI-HERE
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@chatCompletionKey = PUT-YOUR-CHAT-COMPLETION-KEY-HERE
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@imageProjectionContainer=PUT-YOUR-IMAGE-PROJECTION-CONTAINER-HERE
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@cognitiveServicesUrl = PUT-YOUR-AZURE-AI-MULTI-SERVICE-ENDPOINT-HERE
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@modelVersion = 2023-04-15
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@imageProjectionContainer=sustainable-ai-pdf-images
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```
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1. Save the file using a `.rest` or `.http` file extension. For help with the REST client, see [Quickstart: Full-text search using REST](search-get-started-text.md).
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{
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"name": "hnsw",
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"algorithm": "defaulthnsw",
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"vectorizer": "{{vectorizer}}"
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"vectorizer": "demo-vectorizer"
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}
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],
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"algorithms": [
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],
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"vectorizers": [
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{
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"name": "{{ vectorizer }}",
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"name": "demo-vectorizer",
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"kind": "aiServicesVision",
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"aiServicesVisionParameters": {
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"resourceUri": "{{cognitiveServicesUrl}}",
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"searchApiKey": "{{cognitiveServicesKey}}",
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"authIdentity": null,
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"modelVersion": "{{modelVersion}}"
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}
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}
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"indexProjections": {
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"selectors": [
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{
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"targetIndexName": "{{index}}",
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"targetIndexName": "doc-intelligence-multimodal-embedding-index",
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"parentKeyFieldName": "text_document_id",
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"sourceContext": "/document/text_sections/*",
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"mappings": [
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"parameters": {
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"projectionMode": "skipIndexingParentDocuments"
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}
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},
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},
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"cognitiveServices": {
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"@odata.type": "#Microsoft.Azure.Search.AIServicesByIdentity",
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"subdomainUrl": "{{cognitiveServicesUrl}}",
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"identity": null
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},
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"knowledgeStore": {
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"storageConnectionString": "",
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"identity": null,
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"projections": [
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{
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"files": [

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