Support for hybrid search in Azure AI vector store (#2408)

Co-authored-by: Deshraj Yadav <deshrajdry@gmail.com>

mem0/configs/vector_stores/azure_ai_search.py

@@ -8,21 +8,26 @@ class AzureAISearchConfig(BaseModel):
     api_key: str = Field(None, description="API key for the Azure AI Search service")
     embedding_model_dims: int = Field(None, description="Dimension of the embedding vector")
     compression_type: Optional[str] = Field(
-        None, 
-        description="Type of vector compression to use. Options: 'scalar', 'binary', or None"
+        None, description="Type of vector compression to use. Options: 'scalar', 'binary', or None"
     )
     use_float16: bool = Field(
-        False, 
-        description="Whether to store vectors in half precision (Edm.Half) instead of full precision (Edm.Single)"
+        False,
+        description="Whether to store vectors in half precision (Edm.Half) instead of full precision (Edm.Single)",
     )
-    
+    hybrid_search: bool = Field(
+        False, description="Whether to use hybrid search. If True, vector_filter_mode must be 'preFilter'"
+    )
+    vector_filter_mode: Optional[str] = Field(
+        "preFilter", description="Mode for vector filtering. Options: 'preFilter', 'postFilter'"
+    )
+
     @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
-        
+
         # Check for use_compression to provide a helpful error
         if "use_compression" in extra_fields:
             raise ValueError(
@@ -30,13 +35,13 @@ class AzureAISearchConfig(BaseModel):
                 "Please use 'compression_type=\"scalar\"' instead of 'use_compression=True' "
                 "or 'compression_type=None' instead of 'use_compression=False'."
             )
-        
+
         if extra_fields:
             raise ValueError(
                 f"Extra fields not allowed: {', '.join(extra_fields)}. "
                 f"Please input only the following fields: {', '.join(allowed_fields)}"
             )
-        
+
         # Validate compression_type values
         if "compression_type" in values and values["compression_type"] is not None:
             valid_types = ["scalar", "binary"]
@@ -45,9 +50,9 @@ class AzureAISearchConfig(BaseModel):
                     f"Invalid compression_type: {values['compression_type']}. "
                     f"Must be one of: {', '.join(valid_types)}, or None"
                 )
-            
+
         return values
-    
+
     model_config = {
         "arbitrary_types_allowed": True,
-    }
+    }

mem0/configs/vector_stores/elasticsearch.py

@@ -17,8 +17,7 @@ class ElasticsearchConfig(BaseModel):
     use_ssl: bool = Field(True, description="Use SSL for connection")
     auto_create_index: bool = Field(True, description="Automatically create index during initialization")
     custom_search_query: Optional[Callable[[List[float], int, Optional[Dict]], Dict]] = Field(
-        None,
-        description="Custom search query function. Parameters: (query, limit, filters) -> Dict"
+        None, description="Custom search query function. Parameters: (query, limit, filters) -> Dict"
     )
 
     @model_validator(mode="before")

mem0/configs/vector_stores/vertex_ai_vector_search.py

@@ -14,9 +14,7 @@ class GoogleMatchingEngineConfig(BaseModel):
     credentials_path: Optional[str] = Field(None, description="Path to service account credentials file")
     vector_search_api_endpoint: Optional[str] = Field(None, description="Vector search API endpoint")
 
-    model_config = {
-        "extra": "forbid"
-    }
+    model_config = {"extra": "forbid"}
 
     def __init__(self, **kwargs):
         super().__init__(**kwargs)
@@ -26,4 +24,4 @@ class GoogleMatchingEngineConfig(BaseModel):
     def model_post_init(self, _context) -> None:
         """Set collection_name to index_id if not provided"""
         if self.collection_name is None:
-            self.collection_name = self.index_id
+            self.collection_name = self.index_id