Overview
This is a repackaged open source software product wherein additional charges apply for professional support, updates, and maintenance of an AI Layer built on self-hosted OpenSearch deployed on Ubuntu 24.04. The AMI includes a pre-configured intelligent search and analytics platform with vector search capabilities, API support, and security best practices. It is optimized for enterprise deployments and production environments, enabling teams to implement AI-powered search, semantic retrieval, and data insights with minimal setup. ATH provides ongoing support and guidance to ensure reliable operations.
It enables developers, analysts, and businesses to efficiently build AI-driven search applications using a flexible and scalable architecture. With OpenSearch and the AI layer, users can perform semantic search, natural language querying, and real-time data retrieval using vector embeddings and machine learning models.
The AI Layer for OpenSearch includes essential capabilities such as vector similarity search (k-NN), hybrid search (keyword + semantic), embedding-based indexing, and integration with machine learning models. It supports role-based access control, API-driven workflows, and seamless integration with various data sources and AI services. Its modular architecture and extensibility make it ideal for building intelligent search systems, recommendation engines, and data-driven applications.
Deployed on Ubuntu 24.04, this offering ensures a stable, secure, and modern Linux environment. With free maintenance support by ATH, users benefit from initial setup guidance and basic operational assistance, allowing them to focus on building AI-powered applications and scaling their search infrastructure with confidence.
Highlights
- AI Layer integrated with self-hosted OpenSearch on Ubuntu 24.04 LTS
- Semantic and vector-based intelligent search capabilities
- Free maintenance support included by ATH
- Secure and production-ready Linux environment
- Ideal for developers, analysts, and AI-driven organizations
Key Features
- Vector search (k-NN) for semantic similarity
- Hybrid search combining keyword and semantic results
- Natural language querying using AI models
- Integration with embedding models (BERT, Sentence Transformers, etc.)
- REST APIs for search, indexing, and AI workflows
- Scalable and extensible architecture for AI-powered applications
Highlights
- Uses OpenSearch k-NN plugin (FAISS / Lucene engine)
- Extend via OpenSearch plugins (ML Commons, k-NN, Security)
- Combines BM25 (keyword search) + vector search
Details
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Pricing
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.05 |
t2.micro | $0.01 |
t3.micro | $0.05 |
m5.large | $0.05 |
t2.small | $0.05 |
r5.large | $0.05 |
m3.large | $0.05 |
t2.xlarge | $0.05 |
m3.medium | $0.05 |
c3.large | $0.05 |
Vendor refund policy
No refund
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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
Packaged with latest updates as of April/2026
Additional details
Usage instructions
Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html - Run the following commands:
sudo su
Use this doc to follow the steps: https://productinstallationstepsdocs.s3.us-east-1.amazonaws.com/Ai+layer+with+selfhosted+opensearch+doc.docx
Support
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.