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Building the future of OpenSearch together

Sep 16 2024 • community-updates

As announced today, the OpenSearch Project is now part of the newly formed OpenSearch Software Foundation, a community-driven initiative under the Linux Foundation. This marks a major milestone in the history of the OpenSearch Project, and we couldn't be more excited to share our thoughts on what this means to...

Optimizing inference processors for cost efficiency and performance

May 29, 2025 • technical-posts

Inference processors, such as text_embedding, text_image_embedding, and sparse_encoding, enable the generation of vector embeddings during document ingestion or updates. Today, these processors invoke model inference every time a document is...

Do more with less: Save up to 3x on storage with derived vector source

May 20, 2025 • technical-posts

If you’re working with modern applications, from semantic search to recommendation systems, you’re likely implementing vector search. While you might focus on the accuracy and speed of vector similarity searches,...

Finding a replacement for JSM in OpenSearch 3.0

May 19, 2025 • technical-posts

OpenSearch 3.0.0 introduced many innovative features that provide significant advancements in performance, data management, vector database functionality, and more. In the release announcement, we shared that OpenSearch has replaced the...

Intelligent troubleshooting using OpenSearch 3.0's plan-execute-reflect agent

May 19, 2025 • technical-posts

OpenSearch 3.0 introduces the plan–execute–reflect agent—a powerful new capability that breaks down complex problems, selects and executes tools autonomously, and adapts through reflection. In this post, we’ll show you how...

OpenSearch Project update: Performance progress in OpenSearch 3.0

May 14, 2025 • technical-posts, community

Learn more about the strategic enhancements and performance features that OpenSearch has delivered up to version 3.0.

OpenSearch Benchmark: An update

May 12, 2025 • community

OpenSearch Benchmark is the performance benchmarking tool for OpenSearch.

Real-time query monitoring with live queries in OpenSearch 3.0

May 09, 2025 • technical-posts

OpenSearch Query Insights has become an important tool for understanding search query performance, offering visibility into how queries execute and consume cluster resources. Building on our commitment to helping you...

Introducing the z-score normalization technique for hybrid search

Apr 28, 2025 • technical-posts

In search engines and machine learning, data normalization is essential for making fair and accurate comparisons between different features or scores.

Recipes to vectors: Building a hybrid search app with OpenSearch

Apr 25, 2025 • technical-posts

Ever wondered if OpenSearch can double as a vector database? Spoiler: it absolutely can. Whether you’re building a modern search experience, exploring hybrid retrieval, or just curious about embeddings, OpenSearch...

OpenSearch version 3.0: New features, breaking changes from Apache Lucene 10, and what to expect

Apr 24, 2025 • technical-post

OpenSearch version 3.0: New features, breaking changes from Apache Lucene™ 10, and what to expect

What's new in OpenSearch Query Insights: Advanced grouping, dashboards, and historical analysis

Apr 22, 2025 • technical-posts

OpenSearch Query Insights gives you essential visibility into how search queries perform, helping you understand how queries run and how they use cluster resources. Since introducing Query Insights, we’ve aimed...

Announcing OpenSearch Data Prepper 2.11: Supercharged OpenTelemetry and even more sources

Apr 17, 2025 • releases

Data Prepper 2.11.0 offers better OpenTelemetry support and new integrations with external sources.

Building effective hybrid search in OpenSearch: Techniques and best practices

Apr 17, 2025 • technical-posts

OpenSearch provides a wide range of capabilities to support modern search needs, including traditional keyword-based techniques like lexical search using BM25 and more advanced methods like semantic and hybrid search....

Navigating pagination in hybrid queries with the pagination_depth parameter

Apr 16, 2025 • technical-posts

OpenSearch 2.10 introduced hybrid queries, which have become a popular choice for improving semantic search relevance. By combining full-text lexical search with semantic search, hybrid queries deliver better results than...

A practical guide to selecting HNSW hyperparameters

Apr 10, 2025 • technical-posts

Vector search plays a crucial role in many machine learning (ML) and data science pipelines. In the context of large language models (LLMs), vector search powers retrieval-augmented generation (RAG), a...