Run This Ai
EN DE

Jina

Build multimodal AI applications with a cloud-native stack — search, embed, rerank, and serve at scale with Jina

★ 21,857 GitHub Apache-2.0 multimodalsearchembeddingrerankingcloud-nativeragpython RAG & Knowledge

Overview

Jina is an open-source cloud-native framework for building multimodal AI applications. It provides a comprehensive suite of tools for searching, embedding, reranking, encoding, and serving AI-powered solutions. With 21.8K stars on GitHub, Jina offers Docker-based deployment, supports multiple data types (text, images, audio, video), and integrates seamlessly with popular LLMs and vector databases. Built with Python, it is designed for developers building production-ready AI search and RAG (Retrieval-Augmented Generation) systems at scale.

Requirements

Min vCPU
1
Min RAM
1024 MB
Min Disk
10 GB
Rec vCPU
2
Rec RAM
2048 MB
Rec Disk
20 GB

Recommended VPS

Hostinger · KVM 2

2 vCPU · 8192 MB · 100 GB

$6.99
View plan

Hostinger · KVM 2

2 vCPU · 8192 MB · 100 GB

$6.99
View plan

Hostinger · KVM 4

4 vCPU · 16384 MB · 200 GB

$11.99
View plan

Affiliate disclosure

Docker Compose

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

Best VPS for Jina →

Related tools

Guides & articles