56 lines
1.8 KiB
Plaintext
56 lines
1.8 KiB
Plaintext
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// tag::cohere[]
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[source,console]
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------------------------------------------------------------
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PUT _inference/text_embedding/cohere_embeddings <1>
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{
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"service": "cohere",
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"service_settings": {
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"api_key": "<api_key>", <2>
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"model_id": "embed-english-light-v3.0", <3>
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"embedding_type": "int8"
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},
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"task_settings": {
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}
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}
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------------------------------------------------------------
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// TEST[skip:TBD]
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<1> The task type is `text_embedding` in the path.
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<2> The API key of your Cohere account. You can find your API keys in your
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Cohere dashboard under the
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https://dashboard.cohere.com/api-keys[API keys section]. You need to provide
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your API key only once. The <<get-inference-api>> does not return your API
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key.
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<3> The name of the embedding model to use. You can find the list of Cohere
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embedding models https://docs.cohere.com/reference/embed[here].
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// end::cohere[]
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// tag::openai[]
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[source,console]
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------------------------------------------------------------
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PUT _inference/text_embedding/openai_embeddings <1>
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{
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"service": "openai",
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"service_settings": {
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"api_key": "<api_key>", <2>
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"model_id": "text-embedding-ada-002" <3>
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},
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"task_settings": {
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}
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}
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------------------------------------------------------------
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// TEST[skip:TBD]
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<1> The task type is `text_embedding` in the path.
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<2> The API key of your OpenAI account. You can find your OpenAI API keys in
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your OpenAI account under the
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https://platform.openai.com/api-keys[API keys section]. You need to provide
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your API key only once. The <<get-inference-api>> does not return your API
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key.
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<3> The name of the embedding model to use. You can find the list of OpenAI
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embedding models
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https://platform.openai.com/docs/guides/embeddings/embedding-models[here].
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// end::openai[]
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