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Milvus is a self-hosted, open source vector database built for storing, indexing, and searching billions of embedding vectors. This preconfigured AMI enables fast deployment for retrieval-augmented generation (RAG), semantic search, and AI-powered applications without complex installation or manual configuration.
Overview
Milvus is a high-performance, open source vector database purpose-built for storing, indexing, and searching massive-scale embedding vectors. Designed for AI applications such as retrieval-augmented generation (RAG), semantic search, recommendation systems, and image or video similarity search, Milvus gives developers and AI teams the ability to query billions of vectors with millisecond latency. This preconfigured AMI enables fast, self-hosted deployment on AWS without the complexity of manual installation, dependency management, or cluster configuration.
Milvus Step by step Installation Guide: https://meetrix.io/blogs/milvus-developer-guide/ For custom projects of your choice with personalized support, contact us at https://meetrix.io/contact-us
Instant Deployment: Launch a fully configured Milvus environment in minutes with a ready-to-use AMI and simplified deployment workflow.
High-Performance Vector Search: Query billions of embedding vectors with millisecond-level latency using multiple ANN indexing algorithms including HNSW, IVF, and DiskANN.
Built for RAG and AI Applications: Power retrieval-augmented generation, semantic search, and recommendation systems with a purpose-built vector database.
Hybrid Search Support: Combine dense vector search with sparse vector and scalar filtering for precise, context-aware retrieval.
Horizontally Scalable Architecture: Scale storage and compute independently to handle growing datasets and query loads.
Self-Hosted Data Ownership: Maintain full control over embeddings, infrastructure, and AI data pipelines within your own AWS environment.
Version: 2.6.21 Operating System: Ubuntu 24.04
Milvus provides a flexible, self-hosted vector database platform for AI startups, enterprises, RAG pipelines, and developers requiring high-performance embedding search and scalable AI data infrastructure. Deploy a reliable vector database environment with Milvus Step by step Installation Guide: https://meetrix.io/blogs/milvus-developer-guide/
Highlights
- Instant Vector Database Deployment: Launch a fully configured Milvus environment in minutes with a preconfigured AMI and simplified deployment workflow.
- High-Performance Similarity Search: Query billions of embedding vectors with millisecond latency using advanced ANN indexing for RAG, semantic search, and recommendations.
- Scalable, Self-Hosted Architecture: Scale storage and compute independently while maintaining full ownership of your embeddings and AI data pipelines.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Pricing
Free trial
Try this product free for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
t3a.large Recommended | $0.024 |
t2.micro | $0.001 |
t2.small | $0.019 |
t2.large | $0.024 |
t2.xlarge | $0.029 |
t2.medium | $0.024 |
t3a.xlarge | $0.029 |
t3.large | $0.024 |
t3.xlarge | $0.029 |
t3.small | $0.019 |
Dimensions summary
You pay by the hour for the EC2 instance size you pick, plus AWS infrastructure charges. The software runs as a preconfigured AMI, so pricing scales with the compute you choose, not with users or data volume. Options span several instance families: burstable t2 and t3/t3a types, general-purpose m4 through m7 series, compute-optimized c5/c5a/c6a types, and memory-optimized r5/r5a/r6a/r6i types. Within each family, larger sizes (large, xlarge) carry higher hourly rates than smaller ones (small, medium). The vendor recommends t3a.large as a baseline; heavier workloads use larger types.
Top-of-mind questions for buyers
The software meters running instance-hours. When you stop the instance, hourly software charges stop too. You can restart it later as needed. A stopped instance may still incur AWS storage fees for its attached EBS volume, but the software licence bills only while the instance runs.
The hourly rate covers the preconfigured Milvus AMI running on the instance size you pick. AWS bills the underlying EC2 compute, storage, and network separately. Your total is the software hourly charge plus AWS infrastructure charges for the same instance-hours.
Back up your Milvus collections and data, then relaunch the AMI on a larger instance type. When a new AMI version ships, back up your data, remove the previous deployment, and relaunch. Your hourly rate then follows the new instance size you choose.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
First Release
Additional details
Usage instructions
"Click the ""Continue to Subscribe"" button. After subscribing, you will need to accept the terms and conditions. Click on ""Accept Terms"" to proceed. Please wait for a few minutes while the processing takes place. Once it's completed, click on ""Continue to Configuration"".
IAM Role is set up and configured with the necessary permissions to assume the role for the Milvus service. The IAM Policy is created and responsible for access Route53 and create Letsencrypt SSL certificates and backing up data to the S3 bucket.
Access the application via a browser at http://<your domain name> or http://<Public IPv4 address>. Product will try to create SSL certificate when its deploying, if domain hosted on route53. If the automatic SSL creation unsuccessful then you have to point domain name into server ip, ssh into server and run /root/certificate_generate_standalone.sh. Admin email using for SSL generation."
Resources
Vendor resources
Support
Vendor support
Please contact us through aws@meetrix.io . Please allow up to 12 hours for our support team to address your request.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
Milvus, the world most popular open-source vector database (42k+ GitHub stars), now offers an official fully managed service: Zilliz Cloud, built by the original Milvus team. Purpose-built for GenAI embedding workloads and trusted by 10,000+ organizations, Zilliz delivers hybrid search and sub-10 ms latency at billion-vector scale. Enjoy a monthly Free Tier (5GB storage, 2.5M vCUs) or try Serverless/Dedicated free for 30 days, cancel anytime.
Preconfigured VM with Milvus vector DB, JupyterHub, Milvus CLI, and Ollama LLM runtime. Build and test AI Agents with semantic search, and RAG capabilities without 3rd party APIs using a complete, code-ready environment.
This is a repackaged open source software product wherein additional charges apply for hardening, security configuration, and setup support.
Milvus is an open-source vector database for similarity search over embeddings, deployed here in its standalone configuration: the Milvus engine plus etcd for metadata and MinIO for object storage on a single instance. This Lynxroute build is hardened and ready out of the box: authentication enabled before the database first starts with a unique password generated at first boot, the management console published only over TLS behind its own credentials, the metrics port and object store bound to loopback only, UFW firewall pre-configured, and a CIS Level 1 hardened Ubuntu 24.04 LTS base.
Apache-2.0 license - fully auditable, no vendor lock-in.
This product has charges associated with it for the build, maintenance, and support of the Amazon Machine Image (AMI). Milvus is an open-source vector database designed to handle high-dimensional vector data, enabling efficient similarity search and storage at a massive scale. It's particularly optimized for generative AI (GenAI) applications, powering tasks such as semantic search, recommendation systems, and Retrieval-Augmented Generation (RAG). Built to scale seamlessly from prototypes to production, Milvus supports billions of vectors with minimal performance degradation, making it a go-to tool for AI engineers and data scientists working with unstructured data.
Pre-configured Milvus vector database on Amazon Linux 2023. Deploy AI-powered similarity search and vector embeddings in minutes with optimized performance and security.
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