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Documentation Index

Fetch the complete documentation index at: https://docs.antryk.com/llms.txt

Use this file to discover all available pages before exploring further.

What is Milvus?

Milvus is a high-performance open-source vector database built for similarity search, semantic search, AI retrieval systems, recommendation engines, and machine learning applications. It enables developers to efficiently store, index, and query vector embeddings for modern AI-powered workloads. Milvus is optimized for applications that require fast vector similarity matching, metadata filtering, and scalable AI search infrastructure. With Antryk Milvus, you can deploy production-ready vector databases in minutes while Antryk manages infrastructure, networking, backups, scaling, and operational reliability.

Milvus Features on Antryk

  • Fully managed Milvus deployments
  • High-performance vector similarity search
  • Secure password authentication
  • Automated backups and retention management
  • Regional database deployments
  • Simplified deployment workflow
  • Scalable infrastructure for AI applications
  • Production-ready vector search performance
  • Secure credential management
  • Developer-friendly management dashboard

Deploy a Milvus Database

Milvus Deploy Form One Milvus Deploy Form Two Creating a Milvus database on Antryk takes only a few steps.

Step 1: Choose Database Type

From the deployment dashboard:
  1. Click Create Database
  2. Select Milvus

Step 2: Configure Database Settings

Enter your Milvus database configuration details.

Database Configuration Fields

FieldDescription
Database NameName of your Milvus database
PasswordPassword for secure authentication

Password Recommendations

Use a strong password that includes:
  • Uppercase letters
  • Lowercase letters
  • Numbers
  • Special characters

Example Configuration

Database Name: ai_vector_db
Password: StrongSecurePassword123!

Step 3: Select Deployment Region

Choose the region closest to your users or application infrastructure. Available regions include:
  • USA
  • ASIA
  • EUROPE
Selecting the nearest region helps reduce latency and improves vector search performance.

Step 4: Configure Access Control

Antryk provides flexible database access management.

Option 1: Allow Specific IP Addresses

Restrict database access to trusted IP addresses only. Example:
192.168.1.10
203.0.113.45

Option 2: Allow All IPs

Enable public access from all IP addresses.
Recommended only for development environments or temporary testing.

Step 5: Configure Automated Backups

Automated backups help protect your vector data and simplify disaster recovery.

Enable or Disable Backups

You can:
  • Enable automated backups
  • Disable automated backups

Backup Frequency Options

If backups are enabled, choose a backup schedule:
  • Hourly
  • Daily
  • Monthly

Backup Retention Options

Select how long backups should be stored:
  • 7 Days
  • 14 Days
  • 30 Days
  • 90 Days
Example:
Backup Frequency: Daily
Retention Period: 30 Days

Step 6: Select a Plan

Choose a Milvus plan based on your workload requirements. Plans may vary based on:
  • CPU
  • Memory
  • Storage
  • Network performance
  • Backup limits

Step 7: Deploy Database

After completing configuration:
  1. Review all settings
  2. Click Deploy Database
Antryk will automatically provision your Milvus instance and prepare it for use.

Milvus Database Overview Page

Milvus Database Detail Overview Page The Overview page provides essential deployment and connection information.

Available Information

Domain

Use the generated Milvus domain endpoint to connect your applications and AI services. Example:
https://your-milvus-instance.antryk.com

Milvus Settings Page

Milvus Database Detail Settings Page The Settings page allows you to manage database configuration and security.

Available Settings

Change Password

Update database credentials securely without redeploying the database.

Rename Database

Update the database name when needed.

Update Access Control

Modify IP allowlists or enable/disable public access.

Delete Service

Permanently remove the Milvus deployment.
Warning: Deleting a service permanently removes the database and associated vector data.

Milvus Backup Page

Milvus Database Detail Backup Page The Backup page allows you to manage backup configurations and retention settings.

Backup Management Features

Update Backup Frequency

Change backup schedules anytime:
  • Hourly
  • Daily
  • Monthly

Modify Retention Period

Adjust how long backups are stored:
  • 7 Days
  • 14 Days
  • 30 Days
  • 90 Days

Enable or Disable Backups

Turn automated backups on or off depending on project requirements.

Scaling

Milvus on Antryk supports flexible scaling options for growing AI workloads and vector search applications.

Scaling Features

Vertical Scaling

Increase CPU and memory resources to improve vector query performance and handle larger workloads.

Horizontal Scaling

Add read replicas to distribute query traffic and improve high-availability performance.

Storage Scaling

Automatic storage scaling helps manage growing vector datasets without manual intervention.

Security

Antryk Milvus deployments include multiple built-in security controls for protecting vector data and AI infrastructure.

Built-In Security Features

SSL/TLS Encryption

Encrypted connections are required to secure data in transit.

VPC Integration

Private network connectivity for secure internal communication.

IP Whitelisting

Restrict database access to approved IP addresses only.

Authentication

Secure password authentication for database access and integrations.

Backups

Reliable backup management helps protect your vector data and AI indexes.

Backup Features

Automatic Backups

Scheduled automated backups run daily for disaster recovery and data protection.

Manual Backups

Create on-demand backups whenever needed before migrations or major updates.

Monitoring

Monitor Milvus database performance and infrastructure health directly from the Antryk platform.

Monitoring Features

Query Performance

Identify slow vector queries and optimize search performance.

Storage Usage

Track disk usage and monitor vector dataset growth trends.

CPU & Memory Metrics

Monitor infrastructure resource utilization and workload performance.

Common Milvus Use Cases

Milvus is ideal for modern AI-powered applications and vector search systems.
  • AI chatbots
  • Semantic search engines
  • Recommendation systems
  • Retrieval-Augmented Generation (RAG)
  • AI document search
  • Image similarity search
  • Vector similarity search
  • Personalized search systems
  • Machine learning applications
  • Generative AI platforms

Connecting to Milvus

Use the domain endpoint and password from the Overview page to connect your application.

Python Example

from pymilvus import connections

connections.connect(
    alias="default",
    host="your-milvus-instance.antryk.com",
    port="19530",
    user="root",
    password="YOUR_MILVUS_PASSWORD"
)

print("Connected to Milvus")

Node.js Example

const { MilvusClient } = require("@zilliz/milvus2-sdk-node");

const client = new MilvusClient({
  address: "your-milvus-instance.antryk.com:19530",
  username: "root",
  password: process.env.MILVUS_PASSWORD,
});

console.log("Connected to Milvus");

cURL Example

curl https://your-milvus-instance.antryk.com

Best Practices

  • Use restricted IP access
  • Enable automated backups
  • Use strong passwords
  • Deploy in the closest region to your users
  • Rotate credentials regularly
  • Monitor vector storage growth
  • Enable SSL/TLS connections
  • Use private networking when possible

Why Choose Milvus on Antryk?

Antryk simplifies vector database infrastructure management so teams can focus on building AI applications instead of managing servers and infrastructure.

Benefits

  • Fast vector database deployment
  • Simplified AI infrastructure management
  • Secure authentication and networking
  • Flexible backup management
  • Regional deployments
  • Production-ready vector search performance
  • Scalable AI-ready infrastructure
  • Developer-friendly experience
  • Optimized for semantic search and AI workloads