Check the init and runtime parameters for AmazonBedrockTextEmbedder.
YAML Init Parameters
These are the parameters you can specify in pipeline YAML:
| Parameter | Type | Possible values | Description |
|---|---|---|---|
'model' | Literal | "amazon.titan-embed-text-v1""cohere.embed-english-v3""cohere.embed-multilingual-v3" | The embedding model to use. The model must be specified in the format outlined in the Amazon Bedrock documentation. Required. |
'aws_access_key_id' | Secret | AWS access key ID. (Loaded automatically from the environment or the AWS configuration file if the AWS environment is configured correctly). Not needed if deepset Cloud is connected to Bedrock. Optional. | |
'aws_secret_access_key' | Secret | AWS secret access key. (Loaded automatically from the environment or the AWS configuration file if the AWS environment is configured correctly). Not needed if deepset Cloud is connected to Bedrock. Optional. | |
'aws_session_token' | Secret | AWS session token. (Loaded automatically from the environment or the AWS configuration file if the AWS environment is configured correctly). Not needed if deepset Cloud is connected to Bedrock. Optional. | |
'aws_region_name' | Secret | AWS region name. (Loaded automatically from the environment or the AWS configuration file if the AWS environment is configured correctly). Not needed if deepset Cloud is connected to Bedrock. Optional. | |
'aws_profile_name' | Secret | AWS profile name. (Loaded automatically from the environment or the AWS configuration file if the AWS environment is configured correctly). Not needed if deepset Cloud is connected to Bedrock. Optional. | |
'kwargs' | Dictionary | - | Additional parameters to pass for model inference. For example, input_type and truncate for Cohere models. For a list of parameters, see AWS documentation .Optional. |
REST API Runtime Parameters
There are no runtime parameters you can pass to this component when making a request to the Search REST API endpoint.