nihalebr/milvus-standalone repository overview

⁠Milvus DB Standalone Docker Image

This repository provides a Docker image for running Milvus, an open-source vector database, in a standalone configuration. Milvus is designed for handling large-scale vector data, making it ideal for applications involving machine learning, artificial intelligence, and other data-intensive tasks.

⁠Table of Contents

• Introduction⁠
• Features⁠
• Requirements⁠
• Installation⁠
• Usage⁠
• Contributing⁠
• License⁠

⁠Introduction

Milvus is an open-source, highly scalable vector database tailored for AI applications. It supports efficient similarity search and analytics for large-scale vectors. This repository provides a Docker image to facilitate the deployment and management of Milvus in a standalone environment.

⁠Features

• Scalability: Efficient handling of large-scale vector data.
• Performance: Optimized for high-throughput and low-latency operations.
• Ease of Use: Simplified setup and deployment with Docker.
• Compatibility: Supports a wide range of vector data formats and machine learning frameworks.

⁠Requirements

• Docker (version 19.03 or higher)
• Docker Compose (version 1.25 or higher)

⁠Installation

⁠Pulling the Docker Image

To get started, pull the Milvus Docker image from the Docker Hub:

docker pull milvusdb/milvus:latest

⁠Running the Container

Run the Milvus container using the following command:

docker run -d --name milvus-standalone -p 19530:19530 milvusdb/milvus:latest

⁠Usage

Once the container is up and running, Milvus will be accessible on port 19530. You can interact with Milvus using the provided SDKs or via REST APIs.

⁠Example: Python SDK

Here’s a quick example of how to use the Milvus Python SDK to connect to your standalone Milvus instance:

from pymilvus import connections

connections.connect(host='127.0.0.1', port='19530')

⁠License

This repository is licensed under the Apache License 2.0. See the LICENSE⁠ file for more details.