Sold by: Code Creator
Deployed on AWS
Preconfigured Ubuntu AMI for private document Q&A in your AWS account. Upload, index, and query documents via a protected dashboard using Amazon Bedrock Knowledge Bases and S3 Vectors.
Overview
Secure AI Knowledge Workbench - Private Document Intelligence for Your AWS Account
Secure AI Knowledge Workbench is a turnkey, self-hosted document intelligence workspace that deploys entirely within your AWS environment. Launch a single Ubuntu EC2 instance, attach a customer-created IAM role, complete guided first-run setup, and start asking grounded questions from your own documents through a protected browser dashboard.
How It Works
Step 1 - Deploy: Launch the AMI from AWS Marketplace onto a single EC2 instance in your account.
Step 2 - Configure: Attach an IAM role you create and control. The guided first-run setup automatically provisions your private Amazon S3 document bucket, Amazon S3 Vectors bucket and index, Amazon Bedrock Knowledge Base, data source, and required service role - all owned by you.
Step 3 - Upload and Index: Sign in to the protected Workbench dashboard, select a document, click Upload and index, and wait for indexing to complete.
Step 4 - Ask Questions: Query your indexed content and receive grounded answers generated through Amazon Bedrock Knowledge Bases retrieval. When information is not available in the uploaded content, the system clearly indicates it could not find the answer in the documents.
Key Capabilities
- Browser-based document workflow - Upload, index, and query documents from a single protected dashboard without switching between AWS console services
- Customer-owned AWS resources - Every resource the Workbench provisions lives in your AWS account. You retain full ownership, control, and visibility over your data and infrastructure
- Grounded retrieval answers - Responses are generated exclusively from your indexed documents using Amazon Bedrock Knowledge Bases, reducing hallucination risk
- Guided onboarding - A one-time setup code, customer-created EC2 IAM role, and protected admin sign-in get you running without manually installing Docker, configuring containers, or storing long-term AWS access keys on the server
- Automated resource provisioning - First-run setup handles creation of S3 buckets, S3 Vectors index, Bedrock Knowledge Base, data source, and IAM service roles so you do not build the foundation from scratch
- IAM-based security model - Access is controlled through your own IAM role with no long-term AWS credentials stored on the server
AWS Integration Points
- Amazon S3 - Private document storage bucket provisioned in your account
- Amazon S3 Vectors - Vector bucket and index for document embeddings
- Amazon Bedrock Knowledge Bases - Retrieval-augmented generation for grounded document answers
- Amazon EC2 - Single-instance deployment on Ubuntu
- AWS IAM - Role-based access control with no long-term access keys
Who It Is For
Teams that need a private document Q&A workspace in AWS without building a custom ingestion pipeline, retrieval layer, dashboard, or reverse proxy. Ideal for organizations that want to keep sensitive documents within their own AWS account while leveraging AI-powered retrieval.
What You Get
Code Creator engineering provides the protected browser dashboard, guided first-run onboarding, automated AWS resource provisioning, document ingestion and indexing workflow, Bedrock grounded retrieval integration, IAM-based security model, and AWS Marketplace-ready deployment environment.
Get Started
Subscribe through AWS Marketplace, launch the AMI, and follow the guided first-run setup to begin querying your documents. To request a guided walkthrough or ask questions before deploying, reach out through the support contact listed on this page.
Highlights
- Protected browser dashboard eliminates the need to build a custom ingestion pipeline, retrieval layer, or reverse proxy. Upload documents, monitor indexing progress, and ask grounded questions from a single secure interface - no separate tooling or custom front-end development required.
- All data stays in your AWS account. Amazon S3, S3 Vectors, and Amazon Bedrock Knowledge Base resources are provisioned under your ownership, giving you full control over data residency, access policies, cost visibility, and auditability without sharing data with third-party SaaS platforms.
- Guided first-run setup uses your EC2 IAM role for temporary credentials with no long-term AWS access keys stored on the server. This reduces the risk of credential leakage and aligns with AWS security best practices for instance-based authentication.
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
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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 |
|---|---|
t3.large Recommended | $0.04 |
t3.xlarge | $0.04 |
r6i.large | $0.04 |
m6i.xlarge | $0.04 |
t3.small | $0.04 |
t3.medium | $0.04 |
r6i.4xlarge | $0.04 |
m6i.large | $0.04 |
r6i.xlarge | $0.04 |
t3a.2xlarge | $0.04 |
Dimensions summary
You pay by the hour based on the EC2 instance size you choose to run this pre-built workbench. Each dimension maps to a specific instance type, so pricing scales with the compute and memory you select. The t3 and t3a options cover general-purpose sizes from t3.small up through t3a.2xlarge. The m6i options add general-purpose capacity at large and xlarge sizes. The r6i options provide memory-optimized capacity from large up to 4xlarge. Larger instances carry higher hourly rates. You are billed only for the hours each instance runs, with no upfront commitment.
Top-of-mind questions for buyers
You get one running EC2 instance of the size you chose, hosting this pre-built workbench. One hour of the instance running equals one billed hour. The instance type sets your compute and memory. General-purpose types (t3, t3a, m6i) suit balanced work; memory-optimized types (r6i) hold more RAM per size.
Software charges meter running hours only. When you stop the instance, hourly software charges stop accruing. Stopped instances may still incur underlying AWS storage fees for attached volumes, but those are separate from the per-hour software rate shown in the table.
You choose a larger instance type from the table and run the workbench on it. Each dimension bills independently at its own hourly rate. Switching sizes changes which hourly rate applies going forward. There is no upfront commitment, so you can change sizes as your needs change.
www.codecreator.com
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Vendor refund policy
No contracts. We do not currently support refunds, but you can cancel at any time.
Custom pricing options
Request a private offer to receive a custom quote.
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
Updated AMI release with a guided first-run setup, protected browser dashboard, and customer-owned AWS resource provisioning. Upload documents, track indexing progress, and ask grounded questions through the Secure AI Knowledge Workbench.
Additional details
Support
Vendor support
For support inquiries related to the Secure AI Knowledge Workbench, contact Code Creator by email at info@codecreator.com
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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