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databricks_vector_search.py — langchain Source File

Architecture documentation for databricks_vector_search.py, a python file in the langchain codebase. 3 imports, 0 dependents.

File python LangChainCore Runnables 3 imports 2 functions

Entity Profile

Dependency Diagram

graph LR
  cdfcadcb_9ae7_dfe3_abd5_090033abe0be["databricks_vector_search.py"]
  feec1ec4_6917_867b_d228_b134d0ff8099["typing"]
  cdfcadcb_9ae7_dfe3_abd5_090033abe0be --> feec1ec4_6917_867b_d228_b134d0ff8099
  e4596b95_ed91_0e47_96dd_7e987bc14a69["langchain_classic._api"]
  cdfcadcb_9ae7_dfe3_abd5_090033abe0be --> e4596b95_ed91_0e47_96dd_7e987bc14a69
  8df3740f_898e_c05b_85ca_d63b304795c9["langchain_community.query_constructors.databricks_vector_search"]
  cdfcadcb_9ae7_dfe3_abd5_090033abe0be --> 8df3740f_898e_c05b_85ca_d63b304795c9
  style cdfcadcb_9ae7_dfe3_abd5_090033abe0be fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

from typing import TYPE_CHECKING, Any

from langchain_classic._api import create_importer

if TYPE_CHECKING:
    from langchain_community.query_constructors.databricks_vector_search import (
        DatabricksVectorSearchTranslator,
    )

# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports.
DEPRECATED_LOOKUP = {
    "DatabricksVectorSearchTranslator": (
        "langchain_community.query_constructors.databricks_vector_search"
    ),
}

_import_attribute = create_importer(__package__, deprecated_lookups=DEPRECATED_LOOKUP)


def __getattr__(name: str) -> Any:
    """Look up attributes dynamically."""
    return _import_attribute(name)


__all__ = ["DatabricksVectorSearchTranslator"]

Domain

Subdomains

Dependencies

  • langchain_classic._api
  • langchain_community.query_constructors.databricks_vector_search
  • typing

Frequently Asked Questions

What does databricks_vector_search.py do?
databricks_vector_search.py is a source file in the langchain codebase, written in python. It belongs to the LangChainCore domain, Runnables subdomain.
What functions are defined in databricks_vector_search.py?
databricks_vector_search.py defines 2 function(s): __getattr__, langchain_community.
What does databricks_vector_search.py depend on?
databricks_vector_search.py imports 3 module(s): langchain_classic._api, langchain_community.query_constructors.databricks_vector_search, typing.
Where is databricks_vector_search.py in the architecture?
databricks_vector_search.py is located at libs/langchain/langchain_classic/retrievers/self_query/databricks_vector_search.py (domain: LangChainCore, subdomain: Runnables, directory: libs/langchain/langchain_classic/retrievers/self_query).

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