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🤖 Setup Milvus — Vector Database Built for Scale

Deploy Milvus on Ubuntu with Docker, etcd, and MinIO — a high-performance vector database for billion-scale similarity search behind AI and RAG applications, on port 19530.

⚠️ This script is provided for demo and testing purposes only. Not intended for production use.

📦 Resources & Setup Scripts

Grab the automated bash script from GitHub to follow along with the video.

Automated install script — one command deploys the Milvus stack with etcd and MinIO. Connect clients to the gRPC API on port 19530.
View on GitHub

Quick Install:

wget https://raw.githubusercontent.com/mhmdali94/Docker/main/ai/milvus/milvus-ubuntu.sh
chmod +x milvus-ubuntu.sh
sudo bash milvus-ubuntu.sh

Tutorial Steps

1 Download the Script

wget https://raw.githubusercontent.com/mhmdali94/Docker/main/ai/milvus/milvus-ubuntu.sh

2 Make it Executable

chmod +x milvus-ubuntu.sh

3 Run the Installer

The script installs Docker if needed and starts three containers — etcd for metadata, MinIO for object storage, and Milvus itself — exposing the Milvus gRPC API on port 19530.

sudo bash milvus-ubuntu.sh

4 Connect a Client

There's no web UI — connect with the pymilvus client (or another SDK) pointed at the gRPC endpoint:

MilvusClient(uri="http://<your-server-ip>:19530")

Ports Used

PortPurpose
19530gRPC API (host → container 19530) — no web UI, use client SDKs
internaletcd (metadata) + MinIO (object storage, minioadmin default)
./milvusMilvus data (back up with ./etcd and ./minio together)

Overview

Why Use It

When You Need It

    Who Should Use It

      Real Use Cases

        Main Features

          How to Use After Installation

            Security Best Practices

              Ports and Firewall Notes

              Backup and Maintenance

                Common Mistakes

                  Troubleshooting

                    Alternatives

                    When Not to Use It

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                      Frequently Asked Questions