Sold by: Meetrix.io
Deployed on AWS
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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 |
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We do not currently support refunds, but you can cancel at any time.
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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.
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