Solution Provider Highlight - Enhancing anomaly detection in Amazon OpenSearch Service: A customer success story

As organizations increasingly rely on cloud services, monitoring and detecting anomalies in system behavior has become crucial for maintaining reliable operations. In this post, we’ll explore recent improvements to the...

Tracking the evolution of OpenSearch performance

Trail of Bits, an independent research and consulting company, recently completed a detailed analysis of OpenSearch performance. Read the blog post and detailed analysis to learn about key performance metrics...

Efficient large-scale filtering with bitmap filtering in OpenSearch

OpenSearch is a powerful open-source search and analytics engine that enables you to efficiently search and filter large datasets. A common search pattern involves filtering documents based on whether a...

Reduce costs with disk-based vector search

Vector search has gained significant attention in the area of information retrieval thanks to advances in natural language embedding models. These models map domain-specific data into a vector space, where...

From chaos to clarity: Revolutionizing OpenSearch clients and documentation using a unified API specification

In February 2024, we decided to revamp the OpenSearch API Specification repository by adopting the OpenAPI Specification. While this change offered significant benefits, we encountered some challenges during implementation. Most...

Introducing reciprocal rank fusion for hybrid search

OpenSearch 2.19 introduces reciprocal rank fusion (RRF), a new feature in the Neural Search plugin that enhances hybrid search. RRF merges ranked results from multiple query sources, such as neural...

Explore OpenSearch 2.19

The latest version of OpenSearch expands capabilities for search and observability use cases, boosts performance and ease of use, and introduces an array of advancements for machine learning (ML) and...

Enhancing OpenSearch anomaly detection: Reducing false positives through algorithmic improvements

The OpenSearch Anomaly Detection plugin is powered by the Random Cut Forest (RCF) algorithm. Although RCF is a powerful algorithm, false alarms reduce its practical value because users must spend...

Instant DeepSeek: One-click activation with OpenSearch

In an earlier blog post, we introduced OpenSearch’s support for the DeepSeek large language model (LLM). This post focuses on simplifying DeepSeek LLM integration using the OpenSearch Flow Framework plugin....

Zero to RAG: A quick OpenSearch vector database and DeepSeek integration guide

OpenSearch now integrates with DeepSeek, offering powerful and cost-effective AI capabilities. In this blog post, we’ll guide you through setting up a retrieval-augmented generation (RAG) system using OpenSearch and the...

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...