Feature - Support Azure AI Search as a Vector DB (#1967)

Co-authored-by: Sidney Phoon <sidneyphoon17@gmail.com>

mem0/configs/vector_stores/azure_ai_search.py

@@ -0,0 +1,27 @@
+from typing import Any, Dict
+
+from pydantic import BaseModel, Field, model_validator
+
+
+class AzureAISearchConfig(BaseModel):
+    collection_name: str = Field("mem0", description="Name of the collection")
+    service_name: str = Field(None, description="Azure Cognitive Search service name")
+    api_key: str = Field(None, description="API key for the Azure Cognitive Search service")
+    embedding_model_dims: int = Field(None, description="Dimension of the embedding vector")
+    use_compression: bool = Field(False, description="Whether to use scalar quantization vector compression.")
+
+    @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,
+    }