elasticsearch.py — langchain Source File
Architecture documentation for elasticsearch.py, a python file in the langchain codebase. 4 imports, 0 dependents.
Entity Profile
Dependency Diagram
graph LR 88ec696f_0f1d_97d9_defe_1f599d1ca58d["elasticsearch.py"] 8e2034b7_ceb8_963f_29fc_2ea6b50ef9b3["typing"] 88ec696f_0f1d_97d9_defe_1f599d1ca58d --> 8e2034b7_ceb8_963f_29fc_2ea6b50ef9b3 439a4142_6fa6_fe9a_2cba_7c9fb0cdceb7["langchain_classic._api"] 88ec696f_0f1d_97d9_defe_1f599d1ca58d --> 439a4142_6fa6_fe9a_2cba_7c9fb0cdceb7 fd00450e_37ce_1a7a_4711_9798d2217c26["langchain_community.vectorstores"] 88ec696f_0f1d_97d9_defe_1f599d1ca58d --> fd00450e_37ce_1a7a_4711_9798d2217c26 c502797c_c2ad_c032_ccb8_fab9f97e5bdc["langchain_community.vectorstores.elasticsearch"] 88ec696f_0f1d_97d9_defe_1f599d1ca58d --> c502797c_c2ad_c032_ccb8_fab9f97e5bdc style 88ec696f_0f1d_97d9_defe_1f599d1ca58d 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.vectorstores import ElasticsearchStore
from langchain_community.vectorstores.elasticsearch import (
ApproxRetrievalStrategy,
BaseRetrievalStrategy,
ExactRetrievalStrategy,
SparseRetrievalStrategy,
)
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports.
DEPRECATED_LOOKUP = {
"BaseRetrievalStrategy": "langchain_community.vectorstores.elasticsearch",
"ApproxRetrievalStrategy": "langchain_community.vectorstores.elasticsearch",
"ExactRetrievalStrategy": "langchain_community.vectorstores.elasticsearch",
"SparseRetrievalStrategy": "langchain_community.vectorstores.elasticsearch",
"ElasticsearchStore": "langchain_community.vectorstores",
}
_import_attribute = create_importer(__package__, deprecated_lookups=DEPRECATED_LOOKUP)
def __getattr__(name: str) -> Any:
"""Look up attributes dynamically."""
return _import_attribute(name)
__all__ = [
"ApproxRetrievalStrategy",
"BaseRetrievalStrategy",
"ElasticsearchStore",
"ExactRetrievalStrategy",
"SparseRetrievalStrategy",
]
Domain
Subdomains
Functions
Dependencies
- langchain_classic._api
- langchain_community.vectorstores
- langchain_community.vectorstores.elasticsearch
- typing
Source
Frequently Asked Questions
What does elasticsearch.py do?
elasticsearch.py is a source file in the langchain codebase, written in python. It belongs to the CoreAbstractions domain, RunnableInterface subdomain.
What functions are defined in elasticsearch.py?
elasticsearch.py defines 2 function(s): __getattr__, langchain_community.
What does elasticsearch.py depend on?
elasticsearch.py imports 4 module(s): langchain_classic._api, langchain_community.vectorstores, langchain_community.vectorstores.elasticsearch, typing.
Where is elasticsearch.py in the architecture?
elasticsearch.py is located at libs/langchain/langchain_classic/vectorstores/elasticsearch.py (domain: CoreAbstractions, subdomain: RunnableInterface, directory: libs/langchain/langchain_classic/vectorstores).
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