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OpenSearch Project Blog

Your source for OpenSearch updates, community news, and technical insights.

Open Search 3.2
Technical

Introducing OpenSearch 3.2: Next-generation search and analytics with enhanced AI capabilities

August 19, 2025
OpenSearch 3.2 includes new features to enhance and broaden search, observability, and generative AI use cases.
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Found 361 posts


Scaling vector generation: Batch ML inference with OpenSearch Ingestion and ML Commons

August 20, 2025
Learn how to use OpenSearch Ingestion pipelines to automate ML batch inference for offline ingestion.
Open Search 3.2
Technical

Introducing OpenSearch 3.2: Next-generation search and analytics with enhanced AI capabilities

August 19, 2025
OpenSearch 3.2 includes new features to enhance and broaden search, observability, and generative AI use cases.

Performance optimizations for the OpenSearch security layer

August 14, 2025
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.
Community Technical

Taking your first steps towards search relevance

August 13, 2025
OpenSearch 3.1 introduces the Search Relevance Workbench, a comprehensive toolkit that helps improve and fine-tune your search relevance through experimentation.

Diving deep into distributed microservices with OpenSearch and OpenTelemetry

August 12, 2025
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.
Abstract graphic icon of the Observability capabilities of OpenSearch
Community

Unpacking OpenSearch 3.0: AI, observability, and governance on the OpenObservability Talks podcast

August 8, 2025
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.
OpenSearch AI
Community Technical

Using OpenSearch for Retrieval-Augmented Generation (RAG)

August 7, 2025
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.

Transforming bucket aggregations: Our journey to 100x performance improvement

August 5, 2025
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.

The new semantic field: Simplifying semantic search in OpenSearch

July 31, 2025
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...
A person delivering a keynote speech

The state of OpenSearch user groups: Building a global community

July 30, 2025
An overview of the OpenSearch User Group program and some observations Kris Freedain shared as part of a keynote presentation at OpenSearchCon Europe 2025.

Building a multimodal search engine in OpenSearch

July 29, 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.
Community

Case Study: Bringing Fulfillment into Focus: How KRUU Uses OpenSearch for Real-Time Monitoring

July 25, 2025
At KRUU, Europe’s leading photo booth rental provider, smooth logistics are critical to customer satisfaction. The company’s signature product, a rentable, shippable photo booth for weddings and special events, is...

Using OpenSearch as a Vector Database

July 25, 2025
Traditional lexical search, based on term frequency models like blend term frequency models (BM25), is widely used and effective for many search applications. However, lexical search techniques require significant investment...

OpenSearch approximation framework

July 24, 2025
The Approximation Framework is a performance optimization in OpenSearch that introduces early termination during BKD tree traversal. It enhances the efficiency of numeric range, sort, and match_all queries by collecting only the required number of documents. This framework delivers exact results with significantly reduced query latency.

Advanced usage of the semantic field in OpenSearch

July 23, 2025
Explore advanced semantic field features in OpenSearch, including text chunking, support for externally hosted and custom models, cross-cluster usage, and updating model references.

Introducing semantic highlighting in OpenSearch

July 17, 2025
Explore OpenSearch 3.0's semantic highlighting, an AI-powered feature that intelligently identifies relevant passages based on meaning rather than exact keyword matches. Learn how to enhance your search applications with this powerful capability.
Happy birthday OpenSearch

Happy fourth birthday, OpenSearch!

July 17, 2025
A look back at the last 48 months of OpenSearch and a look to what the future holds.

Making ingestion smarter: System ingest pipelines in OpenSearch

July 16, 2025
Discover OpenSearch 3.1's system ingest pipeline feature, enabling plugin developers to automate document processing during ingestion. Learn how it simplifies configuration, improves user experience, and enhances data transformation capabilities.

Introduction to ML inference processors in OpenSearch: Review summarization and semantic search

July 15, 2025
Learn how to use ML inference processors to implement semantic search and summarization in OpenSearch.

Reducing hybrid query latency in OpenSearch 3.1 with efficient score collection

July 9, 2025
OpenSearch 3.1 delivers up to 3.8x faster hybrid query throughput by optimizing score collection, batching, and segment-level execution—resulting in lower latency and more predictable performance under load.