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.
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
Functions
Dependencies
- langchain_classic._api
- langchain_community.query_constructors.databricks_vector_search
- typing
Source
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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