TextEmbeddingBuiltInFunction

The name(s) of the output field(s) where embeddings will be stored.

The dimension of the output embeddings. Required because langchain needs to know the vector dimension upfront when the embedding is generated on the server side.

Parameters for the embedding function. This dict is passed through to Milvus Function. Includes:

• "provider": embedding service provider (e.g., "openai", "dashscope")
• "model_name": model name (e.g., "text-embedding-3-small")
• "credential": optional credential label from milvus.yaml
• Other provider-specific parameters (e.g., "dim", "user", "region", "url") Examples: {"provider": "openai", "model_name": "text-embedding-3-small"} {"provider": "dashscope", "model_name": "text-embedding-v3", "credential": "apikey1"}

The name of the function. Default is None, which means a random name will be generated.