OpenSearch (AWS)

Amazon OpenSearch Service adds SAML attribute-based access control

Amazon OpenSearch Service supports fine-grained access control with SAML to dynamically map users and groups from your identity provider to OpenSearch fine-grained access control users and roles. You can scope these roles to specific OpenSearch domains and serverless collections, and define index-level permissions and document-level security. For more information, seeConfigure SAML attribute-based fine-grained access control. | August 8, 2025

8 Aug 2025

Amazon OpenSearch UI expands to 22 AWS Regions

Amazon OpenSearch UI expands its modernized operational analytics experience to new AWS Regions, including Asia Pacific (Hyderabad), Asia Pacific (Osaka), Asia Pacific (Seoul), Europe (Milan), Europe (Zurich), Europe (Spain), and US-West (N. California) enabling you to gain insights across data spanning managed domains and serverless collections from a single endpoint. OpenSearch UI can connect to OpenSearch domains above version 1.3 and OpenSearch serverless collections. It is now available in 22 AWS Regions. | August 7, 2025

7 Aug 2025

Amazon OpenSearch Service adds Automatic Semantic Enrichment

Automatic semantic enrichment simplifies semantic search implementation and capabilities in Amazon OpenSearch Service. Semantic search returns query results that incorporate not just keyword matching, but the intent and contextual meaning of the user's search. For more information, seeAbout automatic semantic enrichment.Automatic semantic enrichment offers the following benefits:Simplified implementationYou don't need machine learning (ML) expertise or complex integrations.Automated processSemantic enrichment happens automatically during data ingestion.Improved search relevanceSemantic enrichment enhances the quality and contextual accuracy of search results.ScalabilitySemantic enrichment applies semantic search to large datasets without manual intervention. | August 6, 2025

6 Aug 2025

Amazon OpenSearch Serverless Adds Machine Learning Capabilities (RAG & Semantic Search)

OpenSearch Serverless now supports Machine Learning capabilities for AI workflows such as RAG (Retrieval-Augmented Generation) and semantic search. Use connectors to access ML algorithms and remote models hosted on third-party platforms or AWS services. For more information, seeConfigure Machine Learning on Amazon OpenSearch Serverless.Machine Learning on OpenSearch Serverless includes the following capabilities:Neural Search and Hybrid SearchPerform semantic search operations that understand query context and meaning for more relevant results. Combine keyword and semantic search with hybrid search to improve relevance. For more information, seeConfigure Neural Search and Hybrid Search on OpenSearch Serverless.Connectors and ModelsConnect to models hosted on third-party ML platforms and AWS services. Configure connectors with models and deploy them to run predictions and AI workflows.WorkflowsAutomate complex ML setup and pre-processing tasks by chaining multiple API calls. Workflows simplify building AI applications on OpenSearch. For more information, seeConfigure Workflows on OpenSearch Serverless. | August 6, 2025

6 Aug 2025

OpenSearch Serverless introduces snapshots for disaster recovery

Snapshots are point-in-time backups of your Amazon OpenSearch Serverless collections that provide disaster recovery capabilities. OpenSearch Serverless automatically creates and manages snapshots of your collections, ensuring business continuity and data protection.Key benefitsAutomatic hourly backups with no manual configuration requiredZero maintenance overheadNo additional storage costsQuick recovery from accidental data lossAbility to restore specific indices from a snapshotFor more information, seeBacking up collections using snapshots. | July 30, 2025

30 Jul 2025

OpenSearch Ingestion adds disk-based vector search and cross-account ingestion

OpenSearch Ingestion now supports the following sources: | July 17, 2025

17 Jul 2025

OpenSearch Service integrates with Amazon S3 Vectors for semantic search

This integration offers the following features to greatly enhance vector search in OpenSearch Service.Amazon S3 Vectors delivers the first cloud object store with native support to store and query vectors. S3 Vectors provides cost-effective, elastic, and durable vector storage that can be queried based on semantic meaning and similarity. It delivers sub-second query response times and up to 90% lower costs for uploading, storing, and querying vectors.Amazon OpenSearch Service offers the ability to use Amazon S3 as a vector engine for vector indexes. This feature allows you to offload vector data to Amazon S3 while maintaining sub-second vector search capabilities at low cost.For more information, see(Preview) OpenSearch Service integration with Amazon S3 Vectors. | July 15, 2025

15 Jul 2025

OpenSearch Releases Bug Fixes for Snapshot Creation, Transport Package, and Plugin Installation

Three bug fixes were released addressing an infinite loop issue with simultaneous snapshot creation and repository updates, replacing the transport.grpc package namespace, and resolving native plugin installation errors due to PGP key changes. These are maintenance fixes that improve system stability and functionality without requiring immediate user action.

24 Jun 2025

Atlassian Integration with OpenSearch Ingestion for Jira & Confluence

You can now use Amazon OpenSearch Ingestion pipelines to process data from Atlassian Jira and Confluence services. This integration enables you to create a unified searchable knowledge base by synchronizing complete Jira projects and Confluence spaces into OpenSearch. The integration maintains real-time relevance through continuous monitoring and automatic synchronization of updates, while offering flexible filtering options for specific projects, issue types, and content. For more information, seeUsing an OpenSearch Ingestion pipeline with Atlassian Services. | June 5, 2025

5 Jun 2025

AWS CLI: Custom Plugin Management for Amazon OpenSearch Service

You can now manage custom plugins for Amazon OpenSearch Service using the AWS CLI. This feature allows you to install, update, secure, and uninstall custom plugins through a streamlined command-line workflow. You can also secure your plugins with AWS KMS keys and manage plugin upgrades when updating to newer versions of OpenSearch. For more information, seeManaging custom plugins using the AWS CLIandAmazon OpenSearch Service custom package AWS KMS integration | May 27, 2025

27 May 2025

OpenSearch 3.0.0 Release: Lucene 10.1.0 Upgrade & JDK21 Requirement

This release introduces multiple breaking changes including upgrade to Lucene 10.1.0, raising minimum Java runtime requirement to JDK21, and removal of deprecated terms from Java API. Users must upgrade their Java runtime environment and update code using deprecated APIs before adopting this version. The release also includes several bug fixes for HTTP protocol handling and memory allocation issues.

6 May 2025

Amazon OpenSearch Service announces support for OpenSearch 3.5

Amazon OpenSearch Service supports OpenSearch version 2.19. For more information, see the OpenSearch2.19release notes. For information about OpenSearch 2.19 operations, see theOpenSearch REST API reference, or the API reference for the specific plugin. | April 30, 2025

30 Apr 2025

OpenSearch Ingestion: New Console Support for Pipeline Roles

When you create or update pipeline in Amazon OpenSearch Ingestion, you no longer a specify pipeline role in a YAML format pipeline configuration. Instead, in the console, you specify the role in a newPipeline rolefield. If you are using the AWS CLI, you use a new--pipeline-role-arnparameter. For more information, see the following topics: | April 22, 2025

22 Apr 2025

OpenSearch Custom Plugin Installation: Version Compatibility Issues

The troubleshooting topicCustom plugin installation fails due to version compatibilityaddress the steps to take when you encounter the errorPluginValidationFailureReason : The provided plugin could not be loaded. This error is typically the result of a version mismatch between the plugin and the running OpenSearch instance. | April 21, 2025

21 Apr 2025

OpenSearch UI Compatibility with Cross-Cluster Search

OpenSearch UI is now compatible with cross-cluster search. This makes it possible for you to use OpenSearch UI in one AWS Region to access clusters in a different Region. This is done by configuring it as a remote cluster connected with a cluster in the same Region. For more information, seeCross-Region and cross-account data access with cross-cluster search. | April 16, 2025

16 Apr 2025

Updated: Using OpenSearch UI in Amazon OpenSearch Service

We have overhauled and expanded the chapterUsing OpenSearch UI in Amazon OpenSearch Service, including expanded procedures, additional setup details, and a newrelease historyof Amazon OpenSearch Service support for OpenSearch UI. | April 15, 2025

15 Apr 2025

Amazon Q Developer for Amazon OpenSearch Service launches with generative AI

Amazon Q integration with Amazon OpenSearch Service offers the following generative capabilities: | March 31, 2025

31 Mar 2025

AmazonOpenSearchServiceRolePolicy managed policy updated — enhanced access control for IAM Identity Center applications

The policy enables OpenSearch to update the access scope of any AWS IAM Identity Center application that is only managed by OpenSearch. | March 28, 2025

28 Mar 2025

Amazon OpenSearch Service introduces OR2 and OM2 instances

Amazon OpenSearch Service now supports OR2 and OM2 instances. In internal benchmarks, OR2 showed up to 26% better indexing throughput than OR1 and 70% over R7. OM2 showed up to 15% better than OR1 and 66% over M7g. | March 25, 2025

25 Mar 2025

OpenSearch: Fixed HTTP API calls hanging with zstd encoding

OpenSearch resolved an issue where HTTP API calls would hang when using 'Accept-Encoding: zstd' compression. This bug fix improves API reliability for clients using zstandard compression. No action required from users.

27 Feb 2025