Secure AI Knowledge Workbench is a preconfigured Ubuntu AMI for private document Q&A in your AWS account. Attach your own EC2 IAM role, complete guided setup, upload and index documents in a protected browser dashboard, and ask grounded questions using Amazon Bedrock Knowledge Bases, Amazon S3, and S3 Vectors. This product has charges associated with it for the provision and deployment of the application and AMI support.
Secure AI Knowledge Workbench is a turnkey, self-hosted document intelligence workspace for AWS.
Launch one Ubuntu EC2 instance, attach an IAM role created in your own AWS account, complete guided first-run setup, and use a protected browser dashboard to upload documents, track indexing, and ask grounded questions from your content.
What it does
Browser-based document workflow
Sign in to the Workbench dashboard, select a document, click Upload and index, wait for indexing to complete, then ask questions based on the indexed content.
Customer-owned AWS resources
First-run setup creates the private Amazon S3 document bucket, Amazon S3 Vectors bucket and index, Amazon Bedrock Knowledge Base, data source, and required service role in your AWS account. You retain ownership, control, and AWS billing responsibility for these resources.
Grounded document answers
The Workbench uses Amazon Bedrock Knowledge Bases retrieval to generate answers from indexed documents. When the information is not available in the uploaded content, it indicates that it could not find the answer in the documents.
Guided onboarding
A one-time setup code, customer-created EC2 IAM role, and protected admin sign-in help you begin without manually installing Docker, configuring containers, or storing long-term AWS access keys on the server.
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.
Secure AI Knowledge Workbench by Code Creator puts private document intelligence in your AWS account without requiring you to build the foundation from scratch. This is a repackaged open source software product wherein additional charges are applied for the deployment of the application and AMI support and compliance.
Highlights
Protected browser dashboard for document upload, indexing progress, and grounded questions
Customer-owned Amazon S3, S3 Vectors, and Amazon Bedrock Knowledge Base resources
Guided first-run setup with EC2 IAM role access and no long-term AWS access keys on the server
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.
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
What do I actually get when I pay for one instance-hour?
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.
Am I charged when the instance is stopped or paused?
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.
How do I move to a bigger instance if my workload grows?
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.
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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.
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