from_credentials(
  cls,
  model_id: str,
  *,
  es_cloud_id: Optional[str] = None,
  es_user: Optional[str] = None,
  es_password: Optional[str] = None,
  input_field: str = 'text_field'
) -> ElasticsearchEmbeddings

Example:

.. code-block:: python

from langchain_community.embeddings import ElasticsearchEmbeddings

Define the model ID and input field name (if different from default)

model_id = "your_model_id"

Optional, only if different from 'text_field'

input_field = "your_input_field"

Credentials can be passed in two ways. Either set the env vars

ES_CLOUD_ID, ES_USER, ES_PASSWORD and they will be automatically

pulled in, or pass them in directly as kwargs.

embeddings = ElasticsearchEmbeddings.from_credentials( model_id, input_field=input_field, # es_cloud_id="foo", # es_user="bar", # es_password="baz", )

documents = [ "This is an example document.", "Another example document to generate embeddings for.", ] embeddings_generator.embed_documents(documents)