Amazon OpenSearch Serverless introduces automatic semantic enrichment

Amazon OpenSearch Serverless now offers automatic semantic enrichment, a breakthrough feature that simplifies semantic search implementation. You can now boost your search relevance with minimal effort, eliminating complex manual configurations through an automated setup process.

Semantic search goes beyond keyword matching by understanding the context and meaning of search queries. For example, when searching for “how to treat a headache,” semantic search intelligently returns relevant results about “migraine remedies” or “pain management techniques” even when these exact terms aren’t present in the query.

Previously, implementing semantic search required ML (Machine Learning) expertise, model hosting, and OpenSearch integration. Automatic semantic enrichment simplifies this process dramatically. With automatic semantic enrichment, you simply specify which fields need semantic search capabilities. OpenSearch Service handles all semantic enrichment automatically during data ingestion.

The feature launches with support for two language variants: English-only and Multi-lingual, covering 15 languages including Arabic, Chinese, Finnish, French, Hindi, Japanese, Korean, Spanish, and more. You pay only for actual usage during data ingestion, with no ongoing costs for storage or search queries.

This new feature is automatically enabled for all serverless collections and is now available in the following regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), Europe (Spain), Europe (Stockholm). To get started, visit our technical documentation, read our blog post, and see Amazon OpenSearch Service semantic search pricing. Check the AWS Regional Services List for availability in your region.

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Source: Amazon Web Services

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