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Version: 1.0

aixplain.enums.embedding_model

__author__

Copyright 2023 The aiXplain SDK authors Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. Author: aiXplain team Date: February 17th 2025 Description: Embedding Model Enum

EmbeddingModel Objects

class EmbeddingModel(str, Enum)

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Enumeration of available embedding models in the aiXplain system.

This enum defines the unique identifiers for different embedding models that can be used to generate vector representations of data.

Attributes:

  • OPENAI_ADA002 str - OpenAI's Ada-002 text embedding model ID.
  • JINA_CLIP_V2_MULTIMODAL str - Jina CLIP v2 multimodal embedding model ID.
  • MULTILINGUAL_E5_LARGE str - Multilingual E5 Large text embedding model ID.
  • BGE_M3 str - BGE-M3 embedding model ID.

__str__

def __str__() -> str

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Return the string representation of the embedding model ID.

Returns:

  • str - The model ID value as a string.