Amazon Bedrock in SageMaker Unified Studio
With Amazon Bedrock in SageMaker Unified Studio you can build generative AI apps that use Amazon Bedrock models and features, such as knowledge bases and guardrails, without needing to write any code.
To use Amazon Bedrock in SageMaker Unified Studio, you must be a member of an Amazon SageMaker Unified Studio domain. Your organization will provide you with login details. Contact your administrator if you don't have your login details.
Your organization's administrator determines which Amazon Bedrock models and features you have access to. Contact your organization's administrator if you need access to a model or feature that you don't currently have access to.
Note
If you are administrator and need information about managing Amazon Bedrock in SageMaker Unified Studio, see Amazon Bedrock in SageMaker Unified Studio in the Amazon SageMaker Unified Studio admin guide.
Discover Amazon Bedrock in SageMaker Unified Studio playgrounds
Amazon Bedrock in SageMaker Unified Studio provides various options for discovering and experimenting with Amazon Bedrock models and apps.
With the model catalog you can find information about the Amazon Bedrock models that are available to you and decide which model is suitable for your use case. Different models have different capabilities and modalities. For more information, see Find serverless models with the Amazon Bedrock model catalog.
Amazon Bedrock in SageMaker Unified Studio offers two playgrounds for you to experiment with Amazon Bedrock models in: the chat playground and the image and video playground. With the chat playground, you can generate text responses from a model by sending text and image prompts. You can also interact with chat agent apps that have been shared with you. With the image and video playground, you can generate and edit images and videos by sending text and image prompts to a suitable model. For more information, see Experiment with the Amazon Bedrock playgrounds.
Build generative AI apps
Within an Amazon SageMaker Unified Studio project, you can create two types of generative AI apps: a chat agent app and a flow app. You can use a chat agent app to chat with an Amazon Bedrock model through a conversational interface, typically by sending prompts (text or image) and receiving responses. You can use a flows ap to link prompts, supported Amazon Bedrock models, and other units of work, such as a knowledge base, together and create generative AI workflows.
Apps that you create with Amazon Bedrock in SageMaker Unified Studio can integrate the following Amazon Bedrock features.
-
Data sources — Enrich apps by including context that is received from querying a knowledge base or a document.
-
Guardrails — Implement safeguards for your Amazon Bedrock in SageMaker Unified Studio app based on your use cases and responsible AI policies.
-
Functions — Call a function with a model to access a specific capability when handling a prompt.
-
Prompts — Access reusable prompts that you can use in a flow app.
Within a project, you can use the asset gallery to organize the prompts and components that you use for an app. A component is an Amazon Bedrock knowledge base, guardrail, or function.
A critical part of creating a generative AI app is deciding which model to use and which model settings to use. To help you decide, you can evaluate a model for different task types.
If you work on a team, you can collaborate by sharing an app with other team members. You can also export an app so that you can use the app in your own environment.
You can clone the repository that holds your Amazon SageMaker Unified Studio project files to your computer. However, we don't recommend making changes to your project's files on your local desktop, as this may break your project's apps and components.
