Meilisearch
Lightning-fast search engine with AI-powered hybrid and vector search
Overview
Requirements
Recommended VPS
Hostinger · KVM 2
2 vCPU · 8192 MB · 100 GB
Hostinger · KVM 2
2 vCPU · 8192 MB · 100 GB
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Affiliate disclosure
Docker Compose
# Generated by Run This Ai — docker-compose.yml
services:
meilisearch:
image: getmeili/meilisearch:latest
restart: unless-stopped
ports:
- 8080:8080
volumes:
- ./data/meilisearch:/data
Meilisearch: install
Meilisearch
Meilisearch is a powerful, lightning-fast open-source search engine that brings AI-powered hybrid search (full-text + semantic/vector) to your applications. With 58k+ stars on GitHub, it offers instant typo-tolerant search, faceted filtering, geo-search, and built-in vector storage for RAG pipelines. Deploy in seconds with Docker and scale from prototyping to production with zero configuration needed. Features an intuitive API, dashboard, and integrations with all major web frameworks.
Prerequisites
- Docker installed (version 24.0+)
- Docker Compose (version 2.20+)
- At least 1GB RAM (2GB recommended)
Quick start with Docker
# Pull the image
docker pull getmeili/meilisearch:latest
# Run the container
docker run -d --name meilisearch -p 8080:8080 getmeili/meilisearch:latestKey features
- Self-hosted and open source
- Docker-based deployment
- License: MIT
- Repository: https://github.com/meilisearch/meilisearch
- Docker image:
getmeili/meilisearch:latest
Meilisearch: overview
Meilisearch
Meilisearch is a powerful, lightning-fast open-source search engine that brings AI-powered hybrid search (full-text + semantic/vector) to your applications. With 58k+ stars on GitHub, it offers instant typo-tolerant search, faceted filtering, geo-search, and built-in vector storage for RAG pipelines. Deploy in seconds with Docker and scale from prototyping to production with zero configuration needed. Features an intuitive API, dashboard, and integrations with all major web frameworks.
Key features
- Self-hosted and open source
- Docker-based deployment
- License: MIT
- Repository: https://github.com/meilisearch/meilisearch
- Docker image:
getmeili/meilisearch:latest
What it's good for
Meilisearch runs entirely on your own infrastructure — your data never leaves your server.
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Guides & articles
Building a RAG Pipeline with Meilisearch: Hybrid Full-Text and Vector Search
Build powerful RAG pipelines with Meilisearch hybrid search. Learn how to combine full-text and vector search for AI applications using Docker.
How to Set Up Meilisearch: Lightning-Fast AI Search Engine with Docker
Complete guide to setting up Meilisearch - the lightning-fast open-source search engine with AI-powered hybrid search. Deploy with Docker in seconds.