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Is your feature request related to a problem? Please describe.
AdalFlow currently does not support AWS Bedrock models and embeddings. This limits the ability to leverage state-of-the-art AI models and capabilities provided by AWS in AdalFlow workflows.
Describe the solution you'd like
Implement support for AWS Bedrock models and embeddings in AdalFlow:
Allow specifying Bedrock models as a model type in AdalFlow configuration
Enable passing Bedrock model names/IDs to use pre-trained models
Support providing Bedrock embeddings as inputs to AdalFlow components
Integrate with AWS Bedrock APIs to run inference and access model outputs
Document/Tutorials on how to configure and use Bedrock models/embeddings in AdalFlow
Describe alternatives you've considered
Using other model types like HuggingFace in AdalFlow instead of Bedrock. But this foregoes the advanced capabilities of the Bedrock platform such as content moderation configurations, etc.
Additional context
Supporting AWS Bedrock will allow AdalFlow users to take advantage of powerful AI models and embeddings to enhance their workflows. This will make AdalFlow more versatile and compelling for a wider range of use cases and users.
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
AdalFlow currently does not support AWS Bedrock models and embeddings. This limits the ability to leverage state-of-the-art AI models and capabilities provided by AWS in AdalFlow workflows.
Describe the solution you'd like
Implement support for AWS Bedrock models and embeddings in AdalFlow:
Describe alternatives you've considered
Using other model types like HuggingFace in AdalFlow instead of Bedrock. But this foregoes the advanced capabilities of the Bedrock platform such as content moderation configurations, etc.
Additional context
Supporting AWS Bedrock will allow AdalFlow users to take advantage of powerful AI models and embeddings to enhance their workflows. This will make AdalFlow more versatile and compelling for a wider range of use cases and users.
The text was updated successfully, but these errors were encountered: