Blog

OpenSearch now supports DeepSeek chat models

We’re excited to announce that OpenSearch now supports DeepSeek integration, providing powerful and cost-effective AI capabilities. DeepSeek-R1 is a recently released open-source large language model (LLM) that delivers similar benchmarking...

Introducing OpenSearch JavaScript client 3.0

We’re excited to announce the release of OpenSearch JavaScript client 3.0.0. This version introduces significant improvements, including enhanced readability and consistency and a more accurate interface for interacting with OpenSearch...

Solution Provider Highlight - BigData Boutique: 2024 OpenSearch Year In Review

As the OpenSearch Project continues to evolve, it forges its own path by prioritizing features driven by the needs and feedback of its community and users. In this spirit of...

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...

Five takeaways from OpenSearchCon North America 2024

This year, OpenSearchCon North America took place in San Francisco. The city, being the heart of innovation, felt like the ideal place to talk about important topics like search and...