Embeddings AWS Bedrock
Use the Embeddings AWS Bedrock node to generate embeddings for a given text.
On this page, you'll find the node parameters for the Embeddings AWS Bedrock node, and links to more resources.
Node parameters
Authentication: Select the authentication method:
AWS (IAM): Use an IAM access key. Select an AWS credential.
AWS (Assume Role): Temporarily assume an IAM role. Select an AWS (Assume Role) credential.
Model: Select the model or inference profile that generates the embedding. The dropdown lists on-demand embedding models and embedding inference profiles together. If the dropdown is empty or incomplete, your IAM role may lack the
bedrock:ListFoundationModelsorbedrock:ListInferenceProfilespermission. Switch the field to Expression mode and enter the model or inference profile ID directly.
Learn more about available models in the Amazon Bedrock documentation.
Node options
Additional Model Request Fields: Enter model-specific request fields as JSON, for example Titan's
dimensionsandnormalizeor Cohere'sinput_typeandtruncate. Refer to the AWS model parameters documentation for the fields each model family supports.Max Retries: Enter the maximum number of times to retry a request.
Timeout: Enter the maximum time in milliseconds to wait for a request to complete. Set it to
0to disable the timeout.
Templates and examples
Browse Embeddings AWS Bedrock node documentation integration templates or search all templates
Related resources
Refer to the AWS Bedrock documentation for more information about AWS Bedrock.
View n8n's Advanced AI documentation.
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