Feature: milvus db integration (#1821)

mem0/configs/vector_stores/milvus.py

@@ -0,0 +1,41 @@
+from enum import Enum
+from typing import Dict, Any
+from pydantic import BaseModel, model_validator, Field
+
+
+class MetricType(str, Enum):
+    """
+    Metric Constant for milvus/ zilliz server.
+    """
+    def __str__(self) -> str:
+        return str(self.value)
+    
+    L2 = "L2"
+    IP  = "IP"
+    COSINE  = "COSINE"
+    HAMMING  = "HAMMING"
+    JACCARD  = "JACCARD"
+    
+    
+class MilvusDBConfig(BaseModel):
+    url: str = Field("http://localhost:19530", description="Full URL for Milvus/Zilliz server")
+    token: str = Field(None, description="Token for Zilliz server / local setup defaults to None.")
+    collection_name: str = Field("mem0", description="Name of the collection")
+    embedding_model_dims: int = Field(1536, description="Dimensions of the embedding model")
+    metric_type: str = Field("L2", description="Metric type for similarity search")
+
+    @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,
+    }