MiniMaxEmbeddings

Setup:

To use, you should have the environment variable MINIMAX_GROUP_ID and MINIMAX_API_KEY set with your API token.

.. code-block:: bash

export MINIMAX_API_KEY="your-api-key"
export MINIMAX_GROUP_ID="your-group-id"

Key init args — completion params: model: Optional[str] Name of ZhipuAI model to use. api_key: Optional[str] Automatically inferred from env var MINIMAX_GROUP_ID if not provided. group_id: Optional[str] Automatically inferred from env var MINIMAX_GROUP_ID if not provided.

See full list of supported init args and their descriptions in the params section.

Instantiate:

.. code-block:: python

    from langchain_community.embeddings import MiniMaxEmbeddings

    embed = MiniMaxEmbeddings(
        model="embo-01",
        # api_key="...",
        # group_id="...",
        # other
    )

Embed single text:

.. code-block:: python

input_text = "The meaning of life is 42"
embed.embed_query(input_text)

.. code-block:: python

[0.03016241, 0.03617699, 0.0017198119, -0.002061239, -0.00029994643, -0.0061320597, -0.0043635326, ...]

Embed multiple text:

.. code-block:: python

input_texts = ["This is a test query1.", "This is a test query2."]
embed.embed_documents(input_texts)

.. code-block:: python

[
    [-0.0021588828, -0.007608119, 0.029349545, -0.0038194496, 0.008031177, -0.004529633, -0.020150753, ...],
    [ -0.00023150232, -0.011122423, 0.016930554, 0.0083089275, 0.012633711, 0.019683322, -0.005971041, ...]
]