Technical Archives

Blog

Asymmetric distance computation for binary quantization

Learn how asymmetric distance computation (ADC) in OpenSearch achieves 32-fold memory compression for vector search…

Tal WagnerNovember 26, 2025

Blog

Better observability, deeper insights: OpenSearch’s new Piped Processing Language capabilities

OpenSearch 3.3, PPL, Piped Processing Language, log analytics, observability, Apache Calcite, data analysis, time-series analysis,…

Anas AlkouzNovember 25, 2025

Blog

Introducing agentic search in OpenSearch: Transforming data interaction through natural language

With OpenSearch 3.3, we are excited to introduce _agentic search_, a major evolution in the…

Owais KaziNovember 24, 2025

Blog

Adaptive refresh for resilient segment replication

Segment replication is a powerful index replication strategy for high QPS workloads that allows physical…

Vigya SharmaNovember 21, 2025

Blog

Introducing real-time streaming for AI models and agents in OpenSearch

In today's fast-paced digital world, waiting isn't an option, especially when it comes to AI-powered…

Nathalie JonathanNovember 18, 2025

Blog

Improving vector search diversity through native MMR

Learn how to improve search result diversity using OpenSearch 3.3's native Maximal Marginal Relevance (MMR)…

Bo ZhangNovember 17, 2025

Blog

Save up to 2x on storage with derived source

Storage is a key factor driving the infrastructure cost of your OpenSearch cluster. As your…

Tanik PansuriyaOctober 22, 2025

Blog

Explore OpenSearch 3.3

OpenSearch 3.3 is available for download, with a number of new features designed to help…

James McIntyreOctober 14, 2025

Blog

Reimagining log analytics for the modern enterprise

In an era of explosive data growth, organizations are facing a critical challenge: how to…

Joshua BrightOctober 8, 2025

Blog

Introducing OpenSearch AI demos in Hugging Face: Your all-in-one AI search playground

We're thrilled to announce the launch of OpenSearch AI demos in Hugging Face, a set of cutting-edge demo…

Jon HandlerSeptember 30, 2025

Blog

Advancing search with OpenSearch v3 neural sparse models and a multilingual retrieval model

Enhancing OpenSearch neural sparse models with GTE and LLM teachers.

Yiwen WangSeptember 25, 2025

Blog

Measuring and improving search quality metrics

Image source: Created by DALL·E 3 From observing change to measuring search quality In the…

Daniel WrigleySeptember 17, 2025

Blog

Lucene-on-Faiss: Powering OpenSearch’s high-performance, memory-efficient vector search

Learn how a hybrid approach that takes the best from Lucene and Faiss achieves better…

Dooyong KimSeptember 15, 2025

Blog

Meet OSCAR: The AI chat assistant that makes OpenSearch releases easier for everyone

OpenSearch is an open source search and analytics platform that powers website search, log analytics,…

Divyam SengarSeptember 8, 2025

Blog

OpenSearch MCP server: Empowering the Amazon EC2 team’s droplet analysis

Discover how Amazon EC2 team leveraged OpenSearch MCP server and Amazon Q to revolutionize droplet…

Rithin PullelaSeptember 4, 2025

Blog

Breaking the single-thread bottleneck: Concurrent vector graph construction in OpenSearch

How DataStax and the OpenSearch community achieved near-linear scalability for vector index construction through lock-free…

Samuel HermanSeptember 3, 2025

OpenSearch machine learning capabilities icon

Blog

Hosting OpenSearch MCP Server with Amazon Bedrock AgentCore

Learn to deploy OpenSearch MCP server on Bedrock AgentCore Runtime to securely connect AI agents…

Jiaping ZengAugust 27, 2025

Blog

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

OpenSearch 3.2 includes new features to enhance and broaden search, observability, and generative AI use…

Daryll SwagerAugust 19, 2025

Blog

Taking your first steps towards search relevance

OpenSearch 3.1 introduces the Search Relevance Workbench, a comprehensive toolkit that helps improve and fine-tune…

Daniel WrigleyAugust 13, 2025

Blog

Using OpenSearch for Retrieval-Augmented Generation (RAG)

Retrieval-Augmented Generation (RAG) boosts large language model performance by grounding responses in real-time data. Learn…

Maria HatfieldAugust 7, 2025

Technical

Asymmetric distance computation for binary quantization

Better observability, deeper insights: OpenSearch’s new Piped Processing Language capabilities

Introducing agentic search in OpenSearch: Transforming data interaction through natural language

Adaptive refresh for resilient segment replication

Introducing real-time streaming for AI models and agents in OpenSearch

Improving vector search diversity through native MMR

Save up to 2x on storage with derived source

Explore OpenSearch 3.3

Reimagining log analytics for the modern enterprise

Introducing OpenSearch AI demos in Hugging Face: Your all-in-one AI search playground

Advancing search with OpenSearch v3 neural sparse models and a multilingual retrieval model

Measuring and improving search quality metrics

Lucene-on-Faiss: Powering OpenSearch’s high-performance, memory-efficient vector search

Meet OSCAR: The AI chat assistant that makes OpenSearch releases easier for everyone

OpenSearch MCP server: Empowering the Amazon EC2 team’s droplet analysis

Breaking the single-thread bottleneck: Concurrent vector graph construction in OpenSearch

Hosting OpenSearch MCP Server with Amazon Bedrock AgentCore

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

Taking your first steps towards search relevance

Using OpenSearch for Retrieval-Augmented Generation (RAG)

OpenSearch is a community-driven, Apache 2.0-licensed open source search and analytics suite that makes it easy to ingest, search, visualize, and analyze data.

Participate

Providers

Resources