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:mlMachine learningMachine learning>enhancementTeam:MLMeta label for the ML teamMeta label for the ML teamv8.19.0v9.3.0
Description
Request should support one of byte, float, int8 as per https://www.elastic.co/guide/en/elasticsearch/reference/current/infer-service-cohere.html
PUT _inference/text_embedding/multilingual-cohere-v3-search
{
"service": "amazonbedrock",
"service_settings": {
"access_key": "***",
"secret_key": "***",
"region": "us-east-1",
"provider": "Cohere",
"model": "cohere.embed-multilingual-v3",
"embedding_type": "float"
}
}
We currently only support parsing float: AmazonBedrockEmbeddingsResponse
We should be able to reuse this code: CohereEmbeddingsResponseEntity
https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-embed.html
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:mlMachine learningMachine learning>enhancementTeam:MLMeta label for the ML teamMeta label for the ML teamv8.19.0v9.3.0