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Amazon OpenSearch Serverless adds intelligent ingestion for logs and documents in Amazon S3
Amazon OpenSearch Service introduced intelligent ingestion to turn logs and documents from Amazon S3 into searchable content using AI embeddings and vision-language models.
Summary
Amazon OpenSearch Serverless now features intelligent ingestion, which automatically processes logs and documents from Amazon S3 into searchable content. The system parses structured and unstructured data, generates vector embeddings, and uses a vision-language model to describe images without requiring manual infrastructure management.
What changed
- Amazon OpenSearch Serverless added a fully managed intelligent ingestion feature for logs and documents stored in Amazon S3.
- The system automatically detects data types, parses files, generates vector embeddings, and indexes results.
- A vision-language model generates text descriptions for visual elements like charts and screenshots.
- Ingestion jobs support one-time loads and streams keep indices in sync as new objects arrive in S3.
Availability
Available now“Intelligent ingestion is available today for Amazon OpenSearch Serverless (NextGen) collections, with Amazon S3 as the source, in seven AWS Regions.”
Founder takeaway
If your product processes large volumes of documents or logs stored in S3 for search, evaluate this managed ingestion pipeline to remove custom parsing and vector generation code.
Source
Researched and drafted with AI from the official sources above, then checked automatically before publishing. Spotted a mistake? Tell us.
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