Add support for Langchain VectorStores (#2518)

This commit is contained in:
Dev Khant
2025-04-11 13:37:18 +05:30
committed by GitHub
parent 8b789adb15
commit 19d7beef43
9 changed files with 386 additions and 5 deletions

View File

@@ -0,0 +1,30 @@
from typing import Any, ClassVar, Dict
from pydantic import BaseModel, Field, model_validator
class LangchainConfig(BaseModel):
try:
from langchain_community.vectorstores import VectorStore
except ImportError:
raise ImportError("The 'langchain_community' library is required. Please install it using 'pip install langchain_community'.")
VectorStore: ClassVar[type] = VectorStore
client: VectorStore = Field(description="Existing VectorStore instance")
collection_name: str = Field("mem0", description="Name of the collection to use")
@model_validator(mode="before")
@classmethod
def validate_extra_fields(cls, values: Dict[str, Any]) -> Dict[str, Any]:
allowed_fields = set(cls.model_fields.keys())
input_fields = set(values.keys())
extra_fields = input_fields - allowed_fields
if extra_fields:
raise ValueError(
f"Extra fields not allowed: {', '.join(extra_fields)}. Please input only the following fields: {', '.join(allowed_fields)}"
)
return values
model_config = {
"arbitrary_types_allowed": True,
}