Amazon Bedrock Connector
Overview
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, Mistral AI and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications, simplifying development while maintaining privacy and security.
The Amazon Bedrock Connector allows you to integrate with Amazon Bedrock.
As of version 3.0.0 the connector depends on the GenAICommons module. Since 4.0.0 it provides the following out-of-the box implementations:
- ChatCompletions (without history) (Converse API)
- ChatCompletions (with history) (Converse API)
- Retrieve and Generate
- Image generation (Amazon Titan)
- Embeddings (Single String input) (Cohere Embed + Amazon Titan Embeddings v2)
- Embeddings (Chunk collection) input (Cohere Embed + Amazon Titan Embeddings v2).
Thanks to these implementations, it is possible to use Claude and Titan models as assistants in both the OpenAI Showcase App as well as the AI Bot Starter app out of the box. Please have a look into the GenAICommons documentation to find more information about how to build the required request structure and connection object to reuse the operations.
In addition, the connector provides the following actions:
- List Foundation Models
- Invoke Model (generic)
- Retrieve
- StartIngestionJob and GetIngestionJob (make it possible to sync changes to KnowledgeBases)
- List knowledge bases
- Invoke Agent
For even more extensive examples, please find the Amazon Bedrock Showcase App on the marketplace to learn and get some inspiration on how the Amazon Bedrock Connector can be used in your Mendix application and to see additional example microflows for invoking different foundation models available on Amazon Bedrock.
For more information about our AWS Connector strategy, please see the Mendix Evaluation Guide.