Embeddings

init_embeddings

def init_embeddings(
    model: str,
    *,
    provider: str | None = None,
    **kwargs: Any,
) -> Embeddings

Initialize an embedding model from a model name and optional provider.

Requires the integration package for the chosen model provider to be installed (e.g., pip install langchain-openai).Refer to the provider integration’s API reference for supported model parameters to use as **kwargs.

model

str

required

The name of the model, e.g. 'openai:text-embedding-3-small'.You can also specify model and model provider in a single argument using '{model_provider}:{model}' format, e.g. 'openai:text-embedding-3-small'.

provider

str | None

The model provider if not specified as part of the model arg (see above).Supported provider values and the corresponding integration package are:

openai → langchain-openai
azure_openai → langchain-openai
bedrock → langchain-aws
cohere → langchain-cohere
google_vertexai → langchain-google-vertexai
huggingface → langchain-huggingface
mistralai → langchain-mistralai
ollama → langchain-ollama

**kwargs

Any

Additional model-specific parameters passed to the embedding model.These vary by provider. Refer to the specific model provider’s integration reference for all available parameters.

returns

Embeddings

An Embeddings instance that can generate embeddings for text.

Examples

# pip install langchain langchain-openai

# Using a model string
model = init_embeddings("openai:text-embedding-3-small")
model.embed_query("Hello, world!")

# Using explicit provider
model = init_embeddings(model="text-embedding-3-small", provider="openai")
model.embed_documents(["Hello, world!", "Goodbye, world!"])

# With additional parameters
model = init_embeddings("openai:text-embedding-3-small", api_key="sk-...")

Added in langchain 0.3.9

from langchain_core.embeddings import Embeddings

The base class for all embedding models in LangChain. This is re-exported from langchain_core for convenience. See the LangChain Core documentation for the full API reference.

With the release of langchain 1.0.0, several embeddings modules were moved to langchain-classic, such as CacheBackedEmbeddings and all community embeddings.See the list of moved modules to inform your migration.

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init_embeddings

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