Source code for langchain_community.embeddings.databricks

from __future__ import annotations

from typing import Iterator, List
from urllib.parse import urlparse

from langchain_community.embeddings.mlflow import MlflowEmbeddings

def _chunk(texts: List[str], size: int) -> Iterator[List[str]]:
    for i in range(0, len(texts), size):
        yield texts[i : i + size]

[docs]class DatabricksEmbeddings(MlflowEmbeddings): """Databricks embeddings. To use, you should have the ``mlflow`` python package installed. For more information, see Example: .. code-block:: python from langchain_community.embeddings import DatabricksEmbeddings embeddings = DatabricksEmbeddings( target_uri="databricks", endpoint="embeddings", ) """ target_uri: str = "databricks" """The target URI to use. Defaults to ``databricks``.""" @property def _mlflow_extras(self) -> str: return "" def _validate_uri(self) -> None: if self.target_uri == "databricks": return if urlparse(self.target_uri).scheme != "databricks": raise ValueError( "Invalid target URI. The target URI must be a valid databricks URI." )