Add Faiss Support (#2461)

mem0/configs/vector_stores/faiss.py

@@ -0,0 +1,38 @@
+from typing import Any, Dict, Optional
+
+from pydantic import BaseModel, Field, model_validator
+
+
+class FAISSConfig(BaseModel):
+    collection_name: str = Field("mem0", description="Default name for the collection")
+    path: Optional[str] = Field(None, description="Path to store FAISS index and metadata")
+    distance_strategy: str = Field(
+        "euclidean", description="Distance strategy to use. Options: 'euclidean', 'inner_product', 'cosine'"
+    )
+    normalize_L2: bool = Field(
+        False, description="Whether to normalize L2 vectors (only applicable for euclidean distance)"
+    )
+
+    @model_validator(mode="before")
+    @classmethod
+    def validate_distance_strategy(cls, values: Dict[str, Any]) -> Dict[str, Any]:
+        distance_strategy = values.get("distance_strategy")
+        if distance_strategy and distance_strategy not in ["euclidean", "inner_product", "cosine"]:
+            raise ValueError("Invalid distance_strategy. Must be one of: 'euclidean', 'inner_product', 'cosine'")
+        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,
+    }