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in_memory.py — langchain Source File

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

File python LangChainCore MessageInterface 3 imports 2 functions

Entity Profile

Dependency Diagram

graph LR
  0ff2c070_aedc_3e84_98c5_0ba35d77056b["in_memory.py"]
  feec1ec4_6917_867b_d228_b134d0ff8099["typing"]
  0ff2c070_aedc_3e84_98c5_0ba35d77056b --> feec1ec4_6917_867b_d228_b134d0ff8099
  e4596b95_ed91_0e47_96dd_7e987bc14a69["langchain_classic._api"]
  0ff2c070_aedc_3e84_98c5_0ba35d77056b --> e4596b95_ed91_0e47_96dd_7e987bc14a69
  bc17d2e1_7cf6_0264_36b7_5541fc5ef1dd["langchain_community.vectorstores"]
  0ff2c070_aedc_3e84_98c5_0ba35d77056b --> bc17d2e1_7cf6_0264_36b7_5541fc5ef1dd
  style 0ff2c070_aedc_3e84_98c5_0ba35d77056b 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 DocArrayInMemorySearch

# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports.
DEPRECATED_LOOKUP = {"DocArrayInMemorySearch": "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__ = [
    "DocArrayInMemorySearch",
]

Domain

Subdomains

Dependencies

  • langchain_classic._api
  • langchain_community.vectorstores
  • typing

Frequently Asked Questions

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

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