AlephAlphaAsymmetricSemanticEmbedding

Model name to use.

Should the returned embeddings come back as an original 5120-dim vector, or should it be compressed to 128-dim.

Should returned embeddings be normalized

Attention control parameters only apply to those tokens that have explicitly been set in the request.

Apply controls on prompt items by adding the log(control_factor) to attention scores.

API key for Aleph Alpha API.

Determines in which datacenters the request may be processed. You can either set the parameter to "aleph-alpha" or omit it (defaulting to None). Not setting this value, or setting it to None, gives us maximal flexibility in processing your request in our own datacenters and on servers hosted with other providers. Choose this option for maximal availability. Setting it to "aleph-alpha" allows us to only process the request in our own datacenters. Choose this option for maximal data privacy.

Client timeout that will be set for HTTP requests in the requests library's API calls. Server will close all requests after 300 seconds with an internal server error.

The number of retries made in case requests fail with certain retryable status codes. If the last retry fails a corresponding exception is raised. Note, that between retries an exponential backoff is applied, starting with 0.5 s after the first retry and doubling for each retry made. So with the default setting of 8 retries a total wait time of 63.5 s is added between the retries.

Setting this to True, will signal to the API that you intend to be nice to other users by de-prioritizing your request below concurrent ones.

Validate that api key and python package exists in environment.

Call out to Aleph Alpha's asymmetric Document endpoint.

Call out to Aleph Alpha's asymmetric, query embedding endpoint Args: text: The text to embed.