Announcing OpenSearchCon Europe 2025

Solving the cold start search problem in OpenSearch

Upgrading to OpenSearch offers many advantages, but it can also introduce unexpected challenges. One such issue we’ve encountered while assisting with upgrades from older Elasticsearch versions is the “cold start...

Optimizing hybrid search in OpenSearch

Introduction

Streamline OpenSearch Dashboards development with VS Code

OpenSearch Dashboards can be a challenge to set up. This blog post shows you how to use VS Code with OpenSearch Dashboards to make development easier.

OpenSearch simplified: The power of Application-Based Configuration (ABC) templates

OpenSearch supports a wide variety of use cases—such as logs, metrics, traces, website search, and vectors—and enables you to build solutions for various applications based on your use case. As...

Deep dive: Enabling pluggable storage in the OpenSearch vector engine

In 2019, OpenSearch introduced the Vector Engine, which supports three native engines: Non-Metric Space Library (NMSLIB), Facebook AI Similarity Search (Faiss), and Lucene. Unlike Lucene, which is Java based, Faiss...

OpenSearchCon 2024: North America – The blog post

OpenSearch, the community-driven, open-source search and analytics suite, has been gaining momentum in the data-driven application landscape. The recent OpenSearchCon North America 2024 event held in San Francisco, which attracted...

Give back and go forward: Driving community contributions from vendor led to vendor neutral

When Amazon Web Services (AWS) launched the OpenSearch Project, it sought to inspire a community of contributors to help drive innovation for a strategically important open-source project. Working toward that...

OpenSearch Project update: A look at performance progress through version 2.17

Learn more about the strategic enhancements and performance features that OpenSearch has delivered up to version 2.17.

Introducing byte vector support for Faiss in the OpenSearch vector engine

The growing popularity of generative AI and large language models (LLMs) has led to an increased demand for efficient vector search and similarity operations. These models often rely on high-dimensional...

Optimize your OpenSearch costs using binary vectors

Binary vectors offer a powerful, efficient alternative to FP32 vectors, reducing memory and storage by more than 90% without compromising performance. They provide a cost-effective way to scale large datasets...

Boosting k-NN exact search performance

Exact k-nearest neighbor (k-NN) search in OpenSearch allows you to define custom scoring functions to retrieve documents based on their proximity to a query vector. This method provides highly accurate...

Introducing OpenSearch nightly playgrounds: Preview new OpenSearch features live

We’re excited to introduce nightly playgrounds—a dynamic environment where you can explore upcoming versions of OpenSearch and OpenSearch Dashboards in a fully deployed distribution cluster. This live demo environment hosts...

Get started with OpenSearch 2.18

Our latest release brings a number of updates that help you build generative AI (GenAI) applications, improve performance for core search and related workloads, and advance the way your teams...

Step-by-step: Creating a new database integration using Data Prepper

Data Prepper, an open-source data collector, enables you to collect, filter, enrich, and aggregate trace and log data. With Data Prepper, you can prepare your data for downstream analysis and...