Integrations > Amazon Bedrock
| Type | Add On |
| Plan | Premium+ |
| Set-up | Moderate |
Amazon Bedrock Integration with Kontainer DAM & PIM
Integrate Amazon Bedrock with Kontainer and connect generative AI with your digital assets, metadata and product information. Through the Kontainer API, you can build AI solutions that use your own content and product data – for example, with Amazon Nova or other AI models available through Amazon Bedrock.
Description
Connect Amazon Bedrock with your content in Kontainer
Amazon Bedrock is AWS’s platform for building and scaling generative AI applications. The platform provides access to Amazon’s own Nova models as well as a wide range of other foundation models.
By integrating Amazon Bedrock with Kontainer, you can combine the capabilities of generative AI with the digital assets and product data you already manage in your DAM and PIM system.
Through the Kontainer API, relevant files, metadata and product information can be exchanged with an AI solution built on Amazon Bedrock. This makes it possible to develop solutions where AI uses your company’s own content as part of the context for searching, analysing, generating or processing information.
This could range from an AI assistant that helps employees find product information to automated workflows that use Kontainer data to generate or enrich content.
Benefits
What can you gain from an Amazon Bedrock integration?
✔ Connect AI with your DAM and PIM
Make relevant digital assets, metadata and product information from Kontainer available to solutions built with Amazon Bedrock.
✔ Use your own data as AI context
Enable generative AI to work with company-specific information rather than relying solely on a model’s general knowledge.
✔ Create smarter search experiences
Build AI-powered search and question-answering capabilities that make it easier to find relevant products, files and information.
✔ Generate content from product data
Use structured PIM data as the basis for product descriptions, summaries, translations, marketing content and more.
✔ Automate workflows with AI
Combine Amazon Bedrock with the Kontainer API and other business systems to develop AI-powered and agentic workflows.
✔ Choose the right AI model for the task
Amazon Bedrock provides access to Amazon Nova and models from other providers, allowing you to select models based on your specific use case.
Features
From Kontainer data to generative AI
✔ Integration through the Kontainer API
Kontainer’s RESTful API makes it possible to build a connection between Kontainer and solutions based on Amazon Bedrock.
✔ Access to digital assets
Enable AI workflows to work with relevant images, videos, documents and other files from your Kontainer DAM.
✔ Product data from PIM
Use product names, descriptions, specifications, categories, variants and other structured product information in AI-powered processes.
✔ Metadata and relationships
Use metadata and relationships between products and assets to provide your AI solution with more relevant context.
✔ Amazon Bedrock Knowledge Bases and RAG
Amazon Bedrock supports Knowledge Bases and Retrieval-Augmented Generation (RAG), enabling AI solutions to retrieve relevant information from your own data sources and use it as context when generating responses.
✔ Amazon Nova and other foundation models
Use Amazon Nova models or other supported foundation models through Amazon Bedrock, depending on your requirements.
Why connect Amazon Bedrock with Kontainer?
Make your DAM and PIM data useful for AI
A general AI model does not necessarily know which products you sell, which product information is up to date, or which digital assets are approved.
That information already exists in Kontainer.
By integrating Kontainer with Amazon Bedrock, you can create a connection between your central DAM and PIM data and the AI solutions you build within AWS.
Kontainer can, for example, provide relevant product data, metadata and information about digital assets through the API. This data can then be incorporated into an architecture that provides an AI model with the company-specific context it needs.
Amazon Bedrock Knowledge Bases also support RAG, where relevant information is retrieved from your own data sources and used to improve the relevance of AI-generated responses.
This enables you to build AI solutions that do more than generate content – they can work with the product information and digital resources your organization already manages.
Use Cases
Amazon Bedrock + Kontainer in practice
- AI assistant for product information
Build an internal AI assistant that enables employees to ask questions about products and receive answers based on relevant data from Kontainer PIM. - Product content generation
Use structured product data as the basis for generating product descriptions, category copy, sales content and other material with generative AI. - Search across DAM and PIM
Create AI-powered search experiences where users can find products, information and digital assets using natural language. - Product information enrichment
Use AI as part of workflows to categorize, summarize, translate or suggest additional product content. - Images and multimodal content
Amazon Nova includes multimodal models, enabling AI workflows that process both text and visual content. - AI agents and automated workflows
Combine AI models with data, APIs and other systems to build workflows in which AI can be an active part of processes across your technology stack.
Support
Links and Support
There is no single Amazon Bedrock integration that fits every organization. The right solution depends on your data, workflows and what you want to achieve with AI.
The Kontainer API enables you to build integrations where Amazon Bedrock can work alongside your DAM, PIM and wider digital ecosystem.
Contact Kontainer’s customer service to learn more about the integration between Kontainer DAM and Amazon Bedrock.
We are happy to help with setup, training, and best practices.
Please write us at support@kontainer.com
You can read more about AI or just browse our Helpdesk here.
FAQ
Yes. Kontainer provides a RESTful API that makes it possible to build integrations between Kontainer DAM & PIM and external systems and services. It can be used to connect relevant data and assets from Kontainer with an AI solution based on Amazon Bedrock.
Amazon Bedrock is AWS’s platform for building applications with generative AI and foundation models. Bedrock provides access to Amazon Nova as well as models from a range of other AI providers.
Amazon Nova is Amazon’s family of foundation models. The Nova family includes models for different AI tasks, including text-based and multimodal use cases.
The specific architecture depends on the use case. The Kontainer API can be used to access and exchange relevant files, metadata and product data, which can then be incorporated into a solution built with Amazon Bedrock.
Yes. The Kontainer API provides programmatic access to product information and related data. This information can be used in an integration where product data from Kontainer becomes part of an AI workflow.
Yes. Amazon Bedrock Knowledge Bases are designed to connect generative AI applications with proprietary data sources and support Retrieval-Augmented Generation (RAG). How Kontainer data is incorporated depends on the specific integration architecture.
Yes. Amazon Nova models are available through Amazon Bedrock. By combining Bedrock with the Kontainer API, you can build solutions where relevant Kontainer data becomes part of workflows using Nova models.
Amazon Bedrock supports a wide range of foundation models, including Amazon Nova and models from other AI providers. This means an integration does not have to be tied to a single AI model.
Use cases include AI-powered search, product content generation, translations, summaries, product enrichment, internal AI assistants and automated workflows based on product data and digital assets.