build validation

Author: dlepow

articles/api-management/genai-gateway-capabilities.md

@@ -4,7 +4,7 @@ description: Learn about Azure API Management's policies and features to manage
 services: api-management
 author: dlepow
 
-ms.service: api-management
+ms.service: azure-api-management
 ms.collection: ce-skilling-ai-copilot
 ms.topic: concept-article
 ms.date: 08/13/2024
@@ -102,7 +102,7 @@ Configure [Azure OpenAI semantic caching](azure-openai-enable-semantic-caching.m
 In API Management, enable semantic caching by using Azure Redis Enterprise or another [external cache](api-management-howto-cache-external.md) compatible with RediSearch and onboarded to Azure API Management. By using the Azure OpenAI Service Embeddings API, the [azure-openai-semantic-cache-store](azure-openai-semantic-cache-store-policy.md) and [azure-openai-semantic-cache-lookup](azure-openai-semantic-cache-lookup-policy.md) policies to store and retrieve semantically similar prompt completions from the cache. This approach ensures completions reuse, resulting in reduced token consumption and improved response performance. 
 
 > [!TIP]
-> To enable semantic caching for LLM APIs available through the Azure AI Model Inference API, API Management provides the equivalent[llm-semantic-cache-store-policy](llm-semantic-cache-store-policy.md) and [llm-semantic-cache-lookup-policy](llm-semantic-cache-lookup-policy.md) policies.
+> To enable semantic caching for LLM APIs available through the Azure AI Model Inference API, API Management provides the equivalent [llm-semantic-cache-store-policy](llm-semantic-cache-store-policy.md) and [llm-semantic-cache-lookup-policy](llm-semantic-cache-lookup-policy.md) policies.
 
 
 ## Labs and samples