OpenSearch Project Blog

The OpenSearch Project wouldn’t be where it is today without the developers, maintainers, and advocates who contribute their time, ideas, and energy to help it grow. That’s why we’re excited...

OpenSearch is an open source search and analytics platform that powers website search, log analytics, and application monitoring. It brings together the OpenSearch core engine, OpenSearch Dashboards for visualization, and...

Discover how Amazon EC2 team leveraged OpenSearch MCP server and Amazon Q to revolutionize droplet quality investigations, enabling efficient multi-cluster data analysis and reducing troubleshooting time from hours to minutes

Author Samuel Herman Samuel Herman is the architect of OCI (Oracle Cloud Infrastrcture) OpenSearch service launched GA in 2022. Previously in his career Samuel led multiple projects and products for...

Learn to deploy OpenSearch MCP server on Bedrock AgentCore Runtime to securely connect AI agents with OpenSearch clusters using CloudFormation or CLI methods.

A look at how OpenSearch has grown into a trusted open-source platform for next-gen analytics, AI, and global collaboration One year ago, the OpenSearch Project joined the Linux Foundation with...

Executive Takeaway To support its vast cloud ecosystem, SAP is advancing its observability strategy with a strong focus on open standards. A key pillar of this strategy is SAP Cloud...

OpenSearch Benchmark 2.0 redefines the benchmarking experience and introduces long-awaited features that offer users the essential tools needed to measure, track, and optimize OpenSearch performance.

Learn how to use OpenSearch Ingestion pipelines to automate ML batch inference for offline ingestion.

Explore key performance optimizations in OpenSearch's security layer, including privilege evaluation and security enhancements that deliver major throughput improvements for clusters of all sizes.

OpenSearch 3.1 introduces the Search Relevance Workbench, a comprehensive toolkit that helps improve and fine-tune your search relevance through experimentation.

Explore distributed tracing with OpenSearch 3.1 and OpenTelemetry, featuring enhanced service maps and trace analytics. Learn how to collect and analyze telemetry data using OpenSearch Dashboards.

Dotan Horovits talks with Carl Meadows and Pallavi Priyadarshini about how the May 2025 launch of OpenSearch 3.0 reflects the project’s evolution under Linux Foundation governance.

Retrieval-Augmented Generation (RAG) boosts large language model performance by grounding responses in real-time data. Learn how OpenSearch enables scalable, accurate, and trusted RAG solutions.

Learn how OpenSearch improves the performance of date histogram aggregations by using the BKD index tree, with support for sub-aggregations and multi-range traversal.

Semantic search improves result relevance by using a machine learning (ML) model to generate dense or sparse vector embeddings from unstructured text. Traditionally, enabling semantic search has required several manual...

An overview of the OpenSearch User Group program and some observations Kris Freedain shared as part of a keynote presentation at OpenSearchCon Europe 2025.

Go beyond keyword search and learn how to build a multimodal search engine in OpenSearch. This post will show you how to implement one in OpenSearch using the ML inference ingest and search request processors.

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