AWS opensearch-service documentation change
Summary
Updated section headers, fixed typo, and corrected blog post URL reference
Security assessment
Editorial changes and URL correction without security implications. Semantic enrichment functionality remains unchanged.
Diff
diff --git a/opensearch-service/latest/developerguide/opensearch-semantic-enrichment.md b/opensearch-service/latest/developerguide/opensearch-semantic-enrichment.md index cfcce45d8..3a4be4bfc 100644 --- a//opensearch-service/latest/developerguide/opensearch-semantic-enrichment.md +++ b//opensearch-service/latest/developerguide/opensearch-semantic-enrichment.md @@ -5 +5 @@ -How it worksConfiguring permissions for automatic semantic enrichment +How it worksIndex set up exampleConfiguring permissions for automatic semantic enrichment @@ -15 +15 @@ Automatic Semantic Enrichment solves this limitation by considering both keyword -Automatic semantic enrichment is available for Amazon OpenSearch Service domains running version 2.19 or later. Additionally, domains with OpenSearch version 2.19 also need to be on the latest service software version update. +AAutomatic semantic enrichment is available for OpenSearch Service domains running version 2.19 or later. Additionally, domains with OpenSearch version 2.19 also need to be on the latest service software version update. @@ -121 +121 @@ With Automatic Semantic Enrichment, you pay only for the resources your workload -#### Index set up example +## Index set up example @@ -123 +123 @@ With Automatic Semantic Enrichment, you pay only for the resources your workload -For a practical example, refer to the blog post <https://docs.aws.amazon.com/opensearch-service/latest/developerguide/opensearch-semantic-enrichment.html> on index setup for product catalog search using automatic semantic enrichment. Although the blog focuses on OpenSearch Service Serverless, the approach applies to managed clusters as well. Use this example as a starting point, then test with your own workload to validate search relevance improvements. +For a practical example, refer to the blog post [https://aws.amazon.com/blogs/big-data/boosting-search-relevance-automatic-semantic-enrichment-in-amazon-opensearch-serverless/](https://aws.amazon.com/blogs/big-data/boosting-search-relevance-automatic-semantic-enrichment-in-amazon-opensearch-serverless/) on index setup for product catalog search using automatic semantic enrichment. Although the blog focuses on OpenSearch Serverless, the approach applies to managed clusters as well. Use this example as a starting point, then test with your own workload to validate search relevance improvements.