BestHub
Sign in
Tagged articles

OpenSearch

36 articles · Page 1 of 1
IT Services Circle
IT Services Circle
Sep 3, 2026 · Backend Development

OpenSearch 3.0: Segment Replication, Read-Write Separation, and 9.5x Performance Boost

OpenSearch has evolved from an Elasticsearch fork into a Linux Foundation-governed Apache 2.0 platform with architectural innovations like segment replication and read-write separation, delivering 9.5x search performance gains in version 3.0, plus native GPU-accelerated vector indexing, hybrid search, and a growing ecosystem, making it a compelling alternative for license-sensitive, observability, and AI-driven search workloads.

Apache LuceneApache-2.0Elasticsearch
0 likes · 17 min read
OpenSearch 3.0: Segment Replication, Read-Write Separation, and 9.5x Performance Boost
Code Ape Tech Column
Code Ape Tech Column
Sep 3, 2026 · Databases

OpenSearch's Rise: 9.5x Faster Search, Read-Write Separation, and True Open Source

OpenSearch has evolved from an AWS fork of Elasticsearch into a Linux Foundation-hosted, Apache 2.0-licensed search platform with architectural innovations like segment replication, read-write separation, GPU-accelerated vector indexing, and native gRPC, delivering 9.5x query performance gains while offering full-stack free features and vendor-neutral governance.

Apache LuceneApache-2.0Elasticsearch
0 likes · 17 min read
OpenSearch's Rise: 9.5x Faster Search, Read-Write Separation, and True Open Source
Su San Talks Tech
Su San Talks Tech
Sep 1, 2026 · Databases

Why OpenSearch Is Gaining Massive Adoption: Architecture, Features, and Performance

OpenSearch, originally a fork of Elasticsearch, has become an independent Apache‑2.0‑licensed search and analytics platform governed by the Linux Foundation; its five‑layer architecture, segment replication, read/write separation, GPU‑accelerated vector indexing, and strong community growth deliver up to 9.5× query speed and make it a compelling choice over Elasticsearch.

Apache-2.0OpenSearchPerformance
0 likes · 15 min read
Why OpenSearch Is Gaining Massive Adoption: Architecture, Features, and Performance
Xiaolin Talks Programming
Xiaolin Talks Programming
Aug 14, 2026 · Backend Development

Spring Boot + OpenSearch: Building Hybrid Search with Full-Text, Vector Recall & RRF Ranking

This guide walks through building a production-ready hybrid search system using Spring Boot and OpenSearch, covering mapping design for BM25 and k-NN vector search, synonym configuration, RRF-based score fusion, connection pool tuning, multi-tenant security with DLS/FLS, CDC data sync, and cluster operations including ISM lifecycle policies.

BM25CDCISM
0 likes · 18 min read
Spring Boot + OpenSearch: Building Hybrid Search with Full-Text, Vector Recall & RRF Ranking
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jun 24, 2026 · Cloud Computing

High‑Conversion Overseas E‑Commerce Search Using Alibaba OpenSearch

The GoTerra case study shows how Alibaba Cloud OpenSearch’s industry‑algorithm edition transformed a multilingual, multi‑modal e‑commerce search platform by introducing a four‑layer architecture, custom analyzers, white‑box vector indexing, parallel recall, and time‑based elastic scaling, cutting P99 latency from 250 ms to under 70 ms while boosting development efficiency and controlling costs.

Elastic ScalingOpenSearchSearch Optimization
0 likes · 16 min read
High‑Conversion Overseas E‑Commerce Search Using Alibaba OpenSearch
DataFunSummit
DataFunSummit
May 26, 2026 · Artificial Intelligence

Building an Evolvable Context Layer for Agents with ContextSearch

The article explains how ContextSearch transforms enterprise search from simple document retrieval into an Agentic, multi‑source, runtime‑driven context layer that can understand constraints, gather evidence, verify results, and continuously evolve through trace‑backed optimization.

Agentic AIContextSearchDiskANN
0 likes · 14 min read
Building an Evolvable Context Layer for Agents with ContextSearch
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Apr 3, 2026 · Artificial Intelligence

How Alibaba Cloud’s Ops‑Agentic‑Search Reached Human‑Level Performance on the GAIA Benchmark

Alibaba Cloud’s AI Search team introduces Ops‑Agentic‑Search, an enterprise‑grade AI agent framework that tackles core challenges of hallucination, task failure, and long‑term consistency, leverages the GAIA benchmark to demonstrate a 92.36% accuracy—matching human experts—and outlines its technical architecture, key mechanisms, use cases, and future open‑source contributions.

Enterprise AIGAIA benchmarkMultimodal
0 likes · 11 min read
How Alibaba Cloud’s Ops‑Agentic‑Search Reached Human‑Level Performance on the GAIA Benchmark
DevOps Coach
DevOps Coach
Jan 11, 2026 · Databases

Is Elasticsearch Losing Its Edge? A Deep Dive into Its Decline and Alternatives

Elasticsearch, once hailed for speed and flexibility, now faces challenges from licensing changes, rising operational complexity, heavyweight architecture, and the surge of lightweight and vector‑based search solutions like OpenSearch, Meilisearch, and specialized vector databases, prompting developers to reassess its role as the default search engine.

ElasticsearchOpenSearchSolr
0 likes · 8 min read
Is Elasticsearch Losing Its Edge? A Deep Dive into Its Decline and Alternatives
Mingyi World Elasticsearch
Mingyi World Elasticsearch
Nov 16, 2025 · Databases

Elasticsearch vs Open Distro vs OpenSearch vs Easysearch: A Complete Comparison

This article systematically compares Elasticsearch, Open Distro, OpenSearch, and Easysearch, covering their origins, licensing, feature sets, performance benchmarks, Chinese‑language support, deployment and operational considerations, and provides guidance on which solution fits different business and compliance scenarios.

EasysearchElasticsearchOpen Distro
0 likes · 17 min read
Elasticsearch vs Open Distro vs OpenSearch vs Easysearch: A Complete Comparison
DataFunTalk
DataFunTalk
Nov 11, 2025 · Artificial Intelligence

How Alibaba Cloud’s AI Search Redefines Vector Retrieval and RAG

This article outlines Alibaba Cloud AI Search’s evolution, detailing its dual product lines—enhanced Elasticsearch and self‑developed OpenSearch—key Agentic RAG technologies, serverless architecture, vector and LLM‑driven search capabilities, and future directions in AI‑powered search.

AI SearchAlibaba CloudElasticsearch
0 likes · 4 min read
How Alibaba Cloud’s AI Search Redefines Vector Retrieval and RAG
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Nov 6, 2025 · Artificial Intelligence

How GPU‑Accelerated NN‑Descent Boosts Vector Search Speed by Up to 13×

This article explains how unstructured multimedia data is transformed into vectors for similarity search, introduces GPU parallelism and the NN‑Descent algorithm to replace traditional HNSW indexing in OpenSearch, and presents benchmark results showing up to a thirteen‑fold speed improvement while maintaining comparable recall.

Approximate Nearest NeighborGPU accelerationNN-Descent
0 likes · 12 min read
How GPU‑Accelerated NN‑Descent Boosts Vector Search Speed by Up to 13×
Mingyi World Elasticsearch
Mingyi World Elasticsearch
Aug 30, 2025 · Operations

INFINI Console FAQ: Enterprise‑Grade Unified Elasticsearch Management

The article introduces INFINI Console, an open‑source, lightweight platform for unified, multi‑cluster and cross‑version Elasticsearch governance, compares it with Kibana, details deployment options, enterprise‑level features such as monitoring, alerting and security, and analyzes cost advantages and practical migration scenarios.

Cost OptimizationElasticsearchINFINI Console
0 likes · 13 min read
INFINI Console FAQ: Enterprise‑Grade Unified Elasticsearch Management
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Aug 20, 2025 · Artificial Intelligence

How DeepSearch Elevates RAG: From RAG 1.0 to a Multi‑Agent AI Search Engine

This article explains how Alibaba Cloud OpenSearch LLM version evolved from RAG 1.0 to RAG 2.0, introducing the DeepSearch multi‑agent architecture that combines offline data processing, online query handling, planning, clarification, search, and summarization agents to deliver more accurate and complex AI‑driven answers.

AI SearchDeepSearchLLM
0 likes · 10 min read
How DeepSearch Elevates RAG: From RAG 1.0 to a Multi‑Agent AI Search Engine
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jul 8, 2025 · Artificial Intelligence

How Video Retrieval‑Augmented Generation Transforms Multimodal AI Search

This article explains the end‑to‑end implementation of Video RAG in OpenSearch LLM, covering offline parsing, key‑frame extraction, audio transcription, slice creation, multimodal vectorization, hybrid indexing, and online query processing while addressing challenges like recall performance and long‑video efficiency.

ASRKey Frame ExtractionLLM
0 likes · 10 min read
How Video Retrieval‑Augmented Generation Transforms Multimodal AI Search
DataFunSummit
DataFunSummit
Jun 12, 2025 · Artificial Intelligence

How Alibaba Cloud’s AI Search Evolves with Agentic RAG and Multi‑Model Innovations

This article details Alibaba Cloud AI Search’s development journey, covering its dual product lines, the evolution of Agentic RAG technology, multi‑agent architectures, vector retrieval breakthroughs, GPU‑accelerated indexing, NL2SQL capabilities, deployment models, and future directions for AI‑driven search solutions.

AI SearchGPU accelerationOpenSearch
0 likes · 33 min read
How Alibaba Cloud’s AI Search Evolves with Agentic RAG and Multi‑Model Innovations
Aikesheng Open Source Community
Aikesheng Open Source Community
Apr 15, 2025 · Databases

Understanding Full-Link Tracing in OceanBase: Concepts, Mechanisms, and Usage

This article explains OceanBase's full‑link tracing feature, covering its definition, internal working principle, trace‑log structure, span and tag details, configuration steps, and how to view trace data via the show‑trace command or the OCP visual interface, helping DBAs quickly diagnose performance issues.

Full‑Link TracingOCPOceanBase
0 likes · 16 min read
Understanding Full-Link Tracing in OceanBase: Concepts, Mechanisms, and Usage
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Dec 18, 2024 · Artificial Intelligence

Can GPU Graph Algorithms Boost Vector Search Performance by 10×?

This article explains how OpenSearch's GPU‑accelerated vector search leverages parallel graph algorithms to achieve up to tenfold speed improvements over CPU solutions, detailing ANNS techniques, performance benchmarks, and practical GPU specifications for high‑QPS AI applications.

Approximate Nearest NeighborGPU accelerationOpenSearch
0 likes · 11 min read
Can GPU Graph Algorithms Boost Vector Search Performance by 10×?
Mingyi World Elasticsearch
Mingyi World Elasticsearch
Dec 10, 2024 · Databases

Exploring Domestic Alternatives to Elasticsearch When ES Is Restricted

This article analyzes why organizations are seeking domestic replacements for Elasticsearch due to policy, licensing, and cost constraints, and evaluates several options—including OpenSearch, XunSearch, Lucene/Solr, native database extensions, Milvus, and EasySearch—highlighting their strengths, weaknesses, and suitable scenarios.

EasysearchElasticsearchMilvus
0 likes · 13 min read
Exploring Domestic Alternatives to Elasticsearch When ES Is Restricted
21CTO
21CTO
Sep 17, 2024 · Big Data

Why AWS Donated OpenSearch to the Linux Foundation and Its Impact on Search

Amazon Web Services transferred its OpenSearch project—a fork of Elasticsearch and Kibana—to the newly formed OpenSearch Software Foundation under the Linux Foundation, gaining vendor‑neutral governance and support from members like AWS, Uber, Canonical, and Aiven, to foster broader community development of search, analytics, and vector database applications.

AnalyticsLinux FoundationOpenSearch
0 likes · 4 min read
Why AWS Donated OpenSearch to the Linux Foundation and Its Impact on Search
Volcano Engine Developer Services
Volcano Engine Developer Services
Aug 20, 2024 · Databases

How Vector Databases Power RAG: Scaling, Algorithms, and Real‑World Trade‑offs

RAG technology leverages vector databases to provide context‑aware answers without updating model parameters, and this article explores how cloud search teams integrate multiple vector algorithms, balance cost, stability and latency, and adopt open‑source solutions like OpenSearch to build scalable, enterprise‑grade retrieval systems.

AIDiskANNOpenSearch
0 likes · 21 min read
How Vector Databases Power RAG: Scaling, Algorithms, and Real‑World Trade‑offs
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jun 14, 2024 · Artificial Intelligence

How Alibaba Cloud OpenSearch Powers RAG: Insights from AICon 2024

In this talk, Alibaba Cloud's OpenSearch RAG team shares their year‑long journey of building retrieval‑augmented generation systems, covering data parsing, slicing, vectorization, hybrid retrieval, model fine‑tuning, performance optimizations, cost reduction, and future directions such as multimodal queries and agents.

AI SearchLLMModel Fine‑tuning
0 likes · 25 min read
How Alibaba Cloud OpenSearch Powers RAG: Insights from AICon 2024
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Nov 27, 2023 · Artificial Intelligence

How OpenSearch Supercharges Vector Search for Large‑Model Applications

This article explains how Alibaba Cloud OpenSearch leverages vector retrieval, engineering and algorithmic optimizations, heterogeneous CPU‑GPU computing, and dense‑sparse hybrid memory to deliver billion‑scale, high‑throughput search performance and enable conversational AI use cases such as intelligent Q&A and SmartArXiv.

AIOpenSearchretrieval
0 likes · 16 min read
How OpenSearch Supercharges Vector Search for Large‑Model Applications
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Oct 10, 2023 · Artificial Intelligence

Create a Custom Enterprise Conversational Search with Alibaba Cloud OpenSearch Vector & LLM

This guide walks you through setting up Alibaba Cloud OpenSearch Vector Search and LLM Intelligent Q&A editions, covering environment preparation, instance creation, data source configuration, field and index setup, document ingestion, query processing, and a complete Java SDK demo for building a flexible enterprise conversational search system.

Alibaba CloudConversational AIJava SDK
0 likes · 20 min read
Create a Custom Enterprise Conversational Search with Alibaba Cloud OpenSearch Vector & LLM
Qingyun Technology Community
Qingyun Technology Community
Nov 22, 2021 · Cloud Native

Tech Roundup: Curl vs Apple, Docker Fees, Windows 11 Blue Screen, Octoverse, OpenSearch

This roundup covers curl founder Daniel Stenberg’s criticism of Apple’s reliance on open‑source tools, Docker’s new subscription model, Windows 11’s return to the classic blue crash screen, key findings from GitHub’s 2021 Octoverse report, and the debate over OpenSearch as a cloud‑native alternative.

DockerGitHub OctoverseOpenSearch
0 likes · 7 min read
Tech Roundup: Curl vs Apple, Docker Fees, Windows 11 Blue Screen, Octoverse, OpenSearch
Xianyu Technology
Xianyu Technology
Aug 31, 2021 · Big Data

Xianyu SPU System Architecture and Data Pipeline Overview

Xianyu built a custom SPU system and data pipeline that cleans Alibaba’s raw SPU data, defines key, binding, sales and product attributes, stores enriched records in MySQL, syncs to OpenSearch, and supports diverse business scenarios such as inspection, search publishing, and worry‑free purchase.

Data PipelineOpenSearchProduct Modeling
0 likes · 8 min read
Xianyu SPU System Architecture and Data Pipeline Overview
Programmer DD
Programmer DD
Apr 14, 2021 · Databases

AWS Launches OpenSearch: A True Open‑Source Alternative to Elasticsearch

AWS introduced OpenSearch, an Apache‑licensed, fully open‑source fork of Elasticsearch and Kibana that removes commercial restrictions, offers advanced features like security and machine‑learning, and promises seamless migration for existing users while gaining broad industry support.

AWSElasticsearchOpenSearch
0 likes · 5 min read
AWS Launches OpenSearch: A True Open‑Source Alternative to Elasticsearch
Programmer DD
Programmer DD
Aug 3, 2020 · Backend Development

How I Cut Search API Latency from 150ms to 32ms in 10 Days

This article recounts a developer's step‑by‑step optimization of a search API—detailing four load‑test rounds, configuration tweaks, batch queries, caching, and code clean‑up—that ultimately reduced average response time from 150 ms to 32 ms, meeting a sub‑100 ms requirement.

API optimizationOpenSearchRedis
0 likes · 7 min read
How I Cut Search API Latency from 150ms to 32ms in 10 Days