WeaviateDB Integration (#2339)

mem0/configs/vector_stores/weaviate.py

@@ -0,0 +1,42 @@
+from typing import Any, ClassVar, Dict, Optional
+from pydantic import BaseModel, Field, model_validator
+
+
+class WeaviateConfig(BaseModel):
+    from weaviate import WeaviateClient
+
+    WeaviateClient: ClassVar[type] = WeaviateClient
+
+    collection_name: str = Field("mem0", description="Name of the collection")
+    embedding_model_dims: int = Field(1536, description="Dimensions of the embedding model")
+    cluster_url: Optional[str] = Field(None, description="URL for Weaviate server")
+    auth_client_secret: Optional[str] = Field(None, description="API key for Weaviate authentication")
+    additional_headers: Optional[Dict[str, str]] = Field(None, description="Additional headers for requests")
+
+    @model_validator(mode="before")
+    @classmethod
+    def check_connection_params(cls, values: Dict[str, Any]) -> Dict[str, Any]:
+        cluster_url = values.get("cluster_url")
+
+        if not cluster_url:
+            raise ValueError("'cluster_url' must be provided.")
+
+        return values
+
+    @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,
+    }