schema.py — langchain Source File
Architecture documentation for schema.py, a python file in the langchain codebase. 3 imports, 0 dependents.
Entity Profile
Dependency Diagram
graph LR fbdf51a2_fad3_bc14_c0e8_8e72986664b8["schema.py"] 8e2034b7_ceb8_963f_29fc_2ea6b50ef9b3["typing"] fbdf51a2_fad3_bc14_c0e8_8e72986664b8 --> 8e2034b7_ceb8_963f_29fc_2ea6b50ef9b3 439a4142_6fa6_fe9a_2cba_7c9fb0cdceb7["langchain_classic._api"] fbdf51a2_fad3_bc14_c0e8_8e72986664b8 --> 439a4142_6fa6_fe9a_2cba_7c9fb0cdceb7 85b6d44b_f1b4_6709_95e6_22acff70d1d6["langchain_community.vectorstores.redis.schema"] fbdf51a2_fad3_bc14_c0e8_8e72986664b8 --> 85b6d44b_f1b4_6709_95e6_22acff70d1d6 style fbdf51a2_fad3_bc14_c0e8_8e72986664b8 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.redis.schema import (
FlatVectorField,
HNSWVectorField,
NumericFieldSchema,
RedisDistanceMetric,
RedisField,
RedisModel,
RedisVectorField,
TagFieldSchema,
TextFieldSchema,
read_schema,
)
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports.
DEPRECATED_LOOKUP = {
"RedisDistanceMetric": "langchain_community.vectorstores.redis.schema",
"RedisField": "langchain_community.vectorstores.redis.schema",
"TextFieldSchema": "langchain_community.vectorstores.redis.schema",
"TagFieldSchema": "langchain_community.vectorstores.redis.schema",
"NumericFieldSchema": "langchain_community.vectorstores.redis.schema",
"RedisVectorField": "langchain_community.vectorstores.redis.schema",
"FlatVectorField": "langchain_community.vectorstores.redis.schema",
"HNSWVectorField": "langchain_community.vectorstores.redis.schema",
"RedisModel": "langchain_community.vectorstores.redis.schema",
"read_schema": "langchain_community.vectorstores.redis.schema",
}
_import_attribute = create_importer(__package__, deprecated_lookups=DEPRECATED_LOOKUP)
def __getattr__(name: str) -> Any:
"""Look up attributes dynamically."""
return _import_attribute(name)
__all__ = [
"FlatVectorField",
"HNSWVectorField",
"NumericFieldSchema",
"RedisDistanceMetric",
"RedisField",
"RedisModel",
"RedisVectorField",
"TagFieldSchema",
"TextFieldSchema",
"read_schema",
]
Domain
Subdomains
Functions
Dependencies
- langchain_classic._api
- langchain_community.vectorstores.redis.schema
- typing
Source
Frequently Asked Questions
What does schema.py do?
schema.py is a source file in the langchain codebase, written in python. It belongs to the CoreAbstractions domain, MessageSchema subdomain.
What functions are defined in schema.py?
schema.py defines 2 function(s): __getattr__, langchain_community.
What does schema.py depend on?
schema.py imports 3 module(s): langchain_classic._api, langchain_community.vectorstores.redis.schema, typing.
Where is schema.py in the architecture?
schema.py is located at libs/langchain/langchain_classic/vectorstores/redis/schema.py (domain: CoreAbstractions, subdomain: MessageSchema, directory: libs/langchain/langchain_classic/vectorstores/redis).
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