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OpenSearch

Open-source distributed search and analytics suite with vector database capabilities for AI

★ 13,281 GitHub Apache-2.0 search-enginevector-searchraganalyticssemantic-search RAG & Wissen

Überblick

OpenSearch is a community-driven, open-source search and analytics suite derived from Elasticsearch. It provides a distributed, RESTful search engine with advanced vector database capabilities for powering AI applications, RAG pipelines, and semantic search. OpenSearch offers k-NN (k-Nearest Neighbors) search for vector similarity, integrated with a full-text search engine, making it ideal for hybrid search in RAG systems. With built-in security, alerting, and machine learning plugins, it is a comprehensive solution for production AI workloads. The OpenSearch project includes OpenSearch Dashboards for visualization and management, and supports SQL, PPL, and Dashboards query languages. With over 13k stars, it is trusted by enterprises worldwide for log analytics, application search, and AI-powered vector search.

Anforderungen

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Affiliate-Hinweis

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  opensearch:
    image: opensearchproject/opensearch:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/opensearch:/data

Bester VPS für OpenSearch →

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Anleitungen & Artikel

How to Self-Host OpenSearch with Docker for Vector Search and Analytics

Complete step-by-step guide to self-hosting OpenSearch with Docker for AI vector search, RAG pipelines, and analytics.

Jun 27, 2026

OpenSearch: The Open-Source Search Engine Powering AI Vector Search and RAG Pipelines

OpenSearch is an open-source distributed search engine with native vector database capabilities for AI-powered RAG and semantic search.

Jun 27, 2026