bedrock-titan-embedding-defaults.json

{
    "template.name": "bedrock_titan_embedding_model_deploy",
    "template.description": "Deploying Amazon Bedrock Titan embedding model ",
    "create_connector.name": "Amazon Bedrock Connector: embedding",
    "create_connector.description": "The connector to bedrock Titan embedding model",
    "create_connector.region": "us-east-1",
    "create_connector.credential.access_key": "123",
    "create_connector.credential.secret_key": "123",
    "create_connector.credential.session_token": "123",
    "create_connector.actions.url": "https://bedrock-runtime.us-east-1.amazonaws.com/model/amazon.titan-embed-text-v1/invoke",
    "create_connector.actions.request_body": "{ \"inputText\": \"${parameters.inputText}\" }",
    "create_connector.actions.pre_process_function": "\n    StringBuilder builder = new StringBuilder();\n    builder.append(\"\\\"\");\n    String first = params.text_docs[0];\n    builder.append(first);\n    builder.append(\"\\\"\");\n    def parameters = \"{\" +\"\\\"inputText\\\":\" + builder + \"}\";\n    return  \"{\" +\"\\\"parameters\\\":\" + parameters + \"}\";",
    "create_connector.actions.post_process_function": "\n      def name = \"sentence_embedding\";\n      def dataType = \"FLOAT32\";\n      if (params.embedding == null || params.embedding.length == 0) {\n        return params.message;\n      }\n      def shape = [params.embedding.length];\n      def json = \"{\" +\n                 \"\\\"name\\\":\\\"\" + name + \"\\\",\" +\n                 \"\\\"data_type\\\":\\\"\" + dataType + \"\\\",\" +\n                 \"\\\"shape\\\":\" + shape + \",\" +\n                 \"\\\"data\\\":\" + params.embedding +\n                 \"}\";\n      return json;\n    ",
    "register_remote_model.name": "Bedrock embedding model",
    "register_remote_model.description": "bedrock-embedding-model"
}