[8.17] [DOCS] Rename inference services to inference integrations in docs (#120515)

Co-authored-by: David Kyle <[email protected]>

Author: szabosteve

docs/reference/inference/inference-apis.asciidoc

@@ -16,10 +16,8 @@ models or if you want to use non-NLP models, use the
 For the most up-to-date API details, refer to {api-es}/group/endpoint-inference[{infer-cap} APIs].
 --
 
-The {infer} APIs enable you to create {infer} endpoints and use {ml} models of
-different providers - such as Amazon Bedrock, Anthropic, Azure AI Studio,
-Cohere, Google AI, Mistral, OpenAI, or HuggingFace - as a service. Use
-the following APIs to manage {infer} models and perform {infer}:
+The {infer} APIs enable you to create {infer} endpoints and integrate with {ml} models of different services - such as Amazon Bedrock, Anthropic, Azure AI Studio, Cohere, Google AI, Mistral, OpenAI, or HuggingFace.
+Use the following APIs to manage {infer} models and perform {infer}:
 
 * <<delete-inference-api>>
 * <<get-inference-api>>
@@ -36,10 +34,8 @@ An {infer} endpoint enables you to use the corresponding {ml} model without
 manual deployment and apply it to your data at ingestion time through
 <<semantic-search-semantic-text, semantic text>>. 
 
-Choose a model from your provider or use ELSER – a retrieval model trained by 
-Elastic –, then create an {infer} endpoint by the <<put-inference-api>>.
-Now use <<semantic-search-semantic-text, semantic text>> to perform
-<<semantic-search, semantic search>> on your data.
+Choose a model from your service or use ELSER – a retrieval model trained by Elastic –, then create an {infer} endpoint by the <<put-inference-api>>.
+Now use <<semantic-search-semantic-text, semantic text>> to perform <<semantic-search, semantic search>> on your data.
 
 [discrete]
 [[adaptive-allocations]]

docs/reference/inference/put-inference.asciidoc

@@ -54,15 +54,15 @@ The create {infer} API enables you to create an {infer} endpoint and configure a
 
 [IMPORTANT]
 ====
-* When creating an inference endpoint, the associated machine learning model is automatically deployed if it is not already running.
+* When creating an {infer} endpoint, the associated {ml} model is automatically deployed if it is not already running.
 * After creating the endpoint, wait for the model deployment to complete before using it. You can verify the deployment status by using the <<get-trained-models-stats, Get trained model statistics>> API. In the response, look for `"state": "fully_allocated"` and ensure the `"allocation_count"` matches the `"target_allocation_count"`.
 * Avoid creating multiple endpoints for the same model unless required, as each endpoint consumes significant resources.
 ====
 
 
-The following services are available through the {infer} API.
-You can find the available task types next to the service name. 
-Click the links to review the configuration details of the services:
+The following integrations are available through the {infer} API.
+You can find the available task types next to the integration name.
+Click the links to review the configuration details of the integrations:
 
 * <<infer-service-alibabacloud-ai-search,AlibabaCloud AI Search>> (`completion`, `rerank`, `sparse_embedding`, `text_embedding`)
 * <<infer-service-amazon-bedrock,Amazon Bedrock>> (`completion`, `text_embedding`)
@@ -79,14 +79,14 @@ Click the links to review the configuration details of the services:
 * <<infer-service-openai,OpenAI>> (`completion`, `text_embedding`)
 * <<infer-service-watsonx-ai>> (`text_embedding`)
 
-The {es} and ELSER services run on a {ml} node in your {es} cluster. The rest of
-the services connect to external providers.
+The {es} and ELSER services run on a {ml} node in your {es} cluster.
+The rest of the integrations connect to external services.
 
 [discrete]
 [[adaptive-allocations-put-inference]]
 ==== Adaptive allocations
 
-Adaptive allocations allow inference services to dynamically adjust the number of model allocations based on the current load.
+Adaptive allocations allow inference endpoints to dynamically adjust the number of model allocations based on the current load.
 
 When adaptive allocations are enabled:
 

docs/reference/inference/service-alibabacloud-ai-search.asciidoc

@@ -1,5 +1,5 @@
 [[infer-service-alibabacloud-ai-search]]
-=== AlibabaCloud AI Search {infer} service
+=== AlibabaCloud AI Search {infer} integration
 
 .New API reference
 [sidebar]

docs/reference/inference/service-amazon-bedrock.asciidoc

@@ -1,5 +1,5 @@
 [[infer-service-amazon-bedrock]]
-=== Amazon Bedrock {infer} service
+=== Amazon Bedrock {infer} integration
 
 .New API reference
 [sidebar]

docs/reference/inference/service-anthropic.asciidoc

@@ -1,5 +1,5 @@
 [[infer-service-anthropic]]
-=== Anthropic {infer} service
+=== Anthropic {infer} integration
 
 .New API reference
 [sidebar]

docs/reference/inference/service-azure-ai-studio.asciidoc

@@ -1,5 +1,5 @@
 [[infer-service-azure-ai-studio]]
-=== Azure AI studio {infer} service
+=== Azure AI studio {infer} integration
 
 .New API reference
 [sidebar]

docs/reference/inference/service-azure-openai.asciidoc

@@ -1,5 +1,5 @@
 [[infer-service-azure-openai]]
-=== Azure OpenAI {infer} service
+=== Azure OpenAI {infer} integration
 
 .New API reference
 [sidebar]

docs/reference/inference/service-cohere.asciidoc

@@ -1,5 +1,5 @@
 [[infer-service-cohere]]
-=== Cohere {infer} service
+=== Cohere {infer} integration
 
 .New API reference
 [sidebar]

docs/reference/inference/service-elasticsearch.asciidoc

@@ -1,5 +1,5 @@
 [[infer-service-elasticsearch]]
-=== Elasticsearch {infer} service
+=== Elasticsearch {infer} integration
 
 .New API reference
 [sidebar]

docs/reference/inference/service-elser.asciidoc

@@ -1,5 +1,5 @@
 [[infer-service-elser]]
-=== ELSER {infer} service
+=== ELSER {infer} integration
 
 .New API reference
 [sidebar]