Technical Archives

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Advancing OpenSearch with gRPC and Protocol Buffers

OpenSearch now offers native gRPC endpoints with Protocol Buffers, featuring an automated conversion pipeline from…

Karen XuMarch 19, 2026

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Evaluating agentic search in OpenSearch

Learn how agentic search in OpenSearch performs across search relevance and execution accuracy benchmarks, achieving…

Josh PalisMarch 18, 2026

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Beyond filter rewrite: How doc value skip indexes accelerate aggregations in OpenSearch

OpenSearch doc value skip indexes deliver up to 28x faster aggregations on uncorrelated filter and…

Ankit JainMarch 11, 2026

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OpenSearch Agent Health: Open-source observability and evaluation for AI agents

Discover why AI agents fail in silence and how OpenSearch Agent Health solves it with…

Megha GoyalMarch 5, 2026

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Accelerating FP16 vector search performance using bulk SIMD in OpenSearch 3.5

Discover how OpenSearch FP16 vector search performance improved up to 310% throughput using bulk SIMD…

Dooyong KimMarch 3, 2026

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OpenSearch 3.4’s agentic search in OpenSearch Dashboards: Hands-on use cases and examples

Explore OpenSearch 3.4's agentic search UI in Dashboards. Configure AI agents, test natural language queries,…

Tyler OhlsenJanuary 8, 2026

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A customer impact journey: When no data is still important data

Discover how OpenSearch's Anomaly Detection handles missing data with configurable imputation, turning data silence into…

Kaituo LiDecember 31, 2025

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The benefits of random rotation in quantized vector search

Discover how random rotation in OpenSearch 3.2 improves binary quantization accuracy by removing axis correlations…

Tal WagnerDecember 30, 2025

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OpenSearch and Apache Arrow: A tour of the archery range

Discover OpenSearch's experimental Apache Arrow integration. Learn how Arrow Flight enables zero-copy data transfer between…

Nate BootDecember 23, 2025

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Introducing resource sharing: A new access control model for OpenSearch

OpenSearch 3.3 introduces resource sharing and access control, enabling teams to securely share ML models,…

Craig PerkinsDecember 17, 2025

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OpenSearch 3.3: Performance innovations for AI search solutions

OpenSearch 3.3 delivers breakthrough performance with 11× faster queries, optimized vector search, and enhanced AI…

Asim MahmoodDecember 8, 2025

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Boost search relevance with late interaction models

Discover how late interaction models enhance vector search accuracy by preserving token-level information, balancing efficiency…

Mingshi LiuDecember 4, 2025

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OpenSearch as an agentic memory solution: Building context-aware agents using persistent memory

Learn how OpenSearch 3.3's agentic memory system enables AI agents to maintain context and learn…

Dhrubo SahaDecember 2, 2025

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Asymmetric distance computation for binary quantization

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

Yonatan NaamadNovember 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

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Amazon Kiro CLI integration: Log pattern and data distribution analysis

Learn how to integrate Amazon Q CLI with OpenSearch's log pattern analysis and data distribution…

Jiaru JiangNovember 20, 2025

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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

Technical

Advancing OpenSearch with gRPC and Protocol Buffers

Evaluating agentic search in OpenSearch

Beyond filter rewrite: How doc value skip indexes accelerate aggregations in OpenSearch

OpenSearch Agent Health: Open-source observability and evaluation for AI agents

Accelerating FP16 vector search performance using bulk SIMD in OpenSearch 3.5

OpenSearch 3.4’s agentic search in OpenSearch Dashboards: Hands-on use cases and examples

A customer impact journey: When no data is still important data

The benefits of random rotation in quantized vector search

OpenSearch and Apache Arrow: A tour of the archery range

Introducing resource sharing: A new access control model for OpenSearch

OpenSearch 3.3: Performance innovations for AI search solutions

Boost search relevance with late interaction models

OpenSearch as an agentic memory solution: Building context-aware agents using persistent memory

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

Amazon Kiro CLI integration: Log pattern and data distribution analysis

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

Improving vector search diversity through native MMR

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