Sold by: Alphocode
Deployed on AWS
This product has charges associated with it for hardening, security configuration, and support. Alphocode RAG AI Server enables secure document ingestion and AI-powered querying of PDF, DOCX, and text files through a web interface and API.
Overview
This is a repackaged software product wherein additional charges apply for hardening, security configuration, and support.
Alphocode RAG AI Server is a self-hosted solution designed to help organizations interact with their internal documents using artificial intelligence. It provides a structured environment to upload, process, index, and query files such as PDF, DOCX, and TXT through a web interface and API.
The system uses a retrieval-based approach to identify relevant sections from uploaded documents and generate context-aware responses to user queries. This allows teams to efficiently extract information without manually searching through large volumes of content.
Built on Hardened Ubuntu 24.04 LTS, the solution is configured for secure deployment and can be used across multiple use cases, including internal knowledge management, compliance review, documentation analysis, and research workflows.
Alphocode RAG AI Server supports flexible integration with both local and external AI model providers, enabling organizations to choose the setup that best fits their operational and privacy requirements. The platform is suitable for businesses seeking a scalable and private document intelligence system.
Highlights
- Document ingestion for PDF, DOCX, and TXT files
- REST API for integration with external systems
- Pre configured environment on Hardened Ubuntu 24.04 LTS
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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Features and programs
Financing for AWS Marketplace purchases
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Pricing
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.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
m6i.large Recommended | $0.25 |
t3.large | $0.15 |
t3.medium | $0.08 |
m6i.xlarge | $0.40 |
Vendor refund policy
All sales are final. Refunds are not provided once the product has been launched. Billing is managed through AWS Marketplace and subject to AWS terms. For support, please contact Alphocode.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
Initial release of Alphocode RAG AI Server on Hardened Ubuntu 24.04 LTS. Added document ingestion support for PDF, DOCX, and TXT formats. Implemented retrieval-based document search and AI-powered question answering.
Additional details
Usage instructions
Launch the instance from AWS Marketplace using a supported EC2 instance type. Configure the security group to allow SSH (port 22) and HTTP (port 80) access from trusted IPs. Connect to the instance using SSH with your EC2 key pair and the default ubuntu user. Access the application through a web browser using the instance public IP address. Upload documents such as PDF, DOCX, or TXT files using the interface or API. Allow the system to process and index the uploaded content. Submit queries through the web interface or API to retrieve responses based on document data. Configure AI model settings based on your preferred provider or local deployment.
Support
Vendor support
Provider: Alphocode Support Email: support@alphocode.com Response Time: Within 24 to 48 hours
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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