Sold by: Wadecheryl Tech
Deployed on AWS
AWS Free Tier
Deploy an AI-powered knowledge and automation environment with RAG pipelines, intelligent agents, and secure connections to enterprise data sources.
Overview
The AI Agent & RAG Knowledge Automation Server provides a production-ready foundation for building intelligent applications that can retrieve information from internal knowledge bases, reason over enterprise data, and automate operational workflows.
The solution combines retrieval-augmented generation, configurable AI agents, knowledge-base integration, and workflow automation into a deployable environment. Organizations can connect approved data sources, create domain-specific retrieval pipelines, and build AI agents capable of handling repetitive tasks and information-driven processes.
Designed for organizations moving AI initiatives beyond experimentation, the server can support internal knowledge assistants, document-based question answering, operational automation, customer support workflows, and domain-specific AI applications. Its architecture can also be extended to integrate with existing databases and application environments.
Highlights
- RAG & Knowledge Retrieval : Build retrieval pipelines that ground AI responses in organization-specific documents and knowledge bases.
- AI Agents & Workflow Automation : Deploy configurable agents to handle repetitive tasks, business workflows, and information-driven operations.
- Enterprise Data Integration : Connect AI workloads with approved databases, internal systems, and existing application infrastructure.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04 LTS
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. 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 |
|---|---|
t2.micro Recommended | $0.06 |
c3.large | $0.03 |
m1.medium | $0.05 |
Vendor refund policy
Refunds are currently not available. Requests will be reviewed on a case by case basis. Eligible refunds are processed in accordance with AWS policies.
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
First release of AI Agent & RAG Knowledge Automation Server
Additional details
Usage instructions
To begin using this image, connect via SSH. Until you connect SSH into the instance and validate your credentials, you will not be able to access the Software. To connect to the operating system, use SSH and the username buntu. For instructions on using SSH to connect to your instance, see the AWS EC2 documentation: http://docs.usvm.9mmj.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html2 Please note, this image may take upto 10 minutes to instantiate.
Support
Vendor support
For comprehensive assistance and guidance, our dedicated support team is available at https://wadecheryl.com/contact Our team is committed to providing responsive assistance to address technical queries, engagement planning, and ongoing project 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.
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