Code formatting (#2153)

docs/components/vectordbs/dbs/pgvector.mdx

@@ -30,7 +30,7 @@ Here's the parameters available for configuring pgvector:
 
 | Parameter | Description | Default Value |
 | --- | --- | --- |
-| `dbname` | The name of the database | `postgres` |
+| `dbname` | The name of the  | `postgres` |
 | `collection_name` | The name of the collection | `mem0` |
 | `embedding_model_dims` | Dimensions of the embedding model | `1536` |
 | `user` | User name to connect to the database | `None` |

docs/features.mdx

@@ -44,8 +44,6 @@ Mem0's memory implementation for Large Language Models (LLMs) offers several adv
 
 - **Entity Relationships**: Mem0 can understand and relate entities across different interactions, unlike RAG which retrieves information from static documents. This leads to a deeper understanding of context and relationships.
 
-- **Recency, Relevancy, and Decay**: Mem0 uses custom search algorithms to prioritize recent interactions and gradually forgets outdated information, ensuring the memory remains relevant and up-to-date for more accurate responses.
-
 - **Contextual Continuity**: Mem0 retains information across sessions, maintaining continuity in conversations and interactions, which is essential for long-term engagement applications like virtual companions or personalized learning assistants.
 
 - **Adaptive Learning**: Mem0 improves its personalization based on user interactions and feedback, making the memory more accurate and tailored to individual users over time.

mem0/client/main.py

@@ -114,9 +114,9 @@ class MemoryClient:
 
             if response.status_code == 200:
                 data = response.json()
-                if data.get('org_id') and data.get('project_id'):
-                    self.org_id = data.get('org_id')
-                    self.project_id = data.get('project_id')
+                if data.get("org_id") and data.get("project_id"):
+                    self.org_id = data.get("org_id")
+                    self.project_id = data.get("project_id")
 
         except httpx.HTTPStatusError:
             raise ValueError("Invalid API Key. Please get a valid API Key from https://app.mem0.ai")
@@ -407,7 +407,7 @@ class MemoryClient:
         return response.json()
 
     @api_error_handler
-    def get_project(self, fields: Optional[List[str]]=None) -> Dict[str, Any]:
+    def get_project(self, fields: Optional[List[str]] = None) -> Dict[str, Any]:
         """Get instructions or categories for the current project.
 
         Args:
@@ -433,7 +433,9 @@ class MemoryClient:
         return response.json()
 
     @api_error_handler
-    def update_project(self, custom_instructions: Optional[str]=None, custom_categories: Optional[List[str]]=None) -> Dict[str, Any]:
+    def update_project(
+        self, custom_instructions: Optional[str] = None, custom_categories: Optional[List[str]] = None
+    ) -> Dict[str, Any]:
         """Update the project settings.
 
         Args:
@@ -451,15 +453,23 @@ class MemoryClient:
             raise ValueError("org_id and project_id must be set to update instructions or categories")
 
         if custom_instructions is None and custom_categories is None:
-            raise ValueError("Currently we only support updating custom_instructions or custom_categories, so you must provide at least one of them")
+            raise ValueError(
+                "Currently we only support updating custom_instructions or custom_categories, so you must provide at least one of them"
+            )
 
-        payload = self._prepare_params({"custom_instructions": custom_instructions, "custom_categories": custom_categories})
+        payload = self._prepare_params(
+            {"custom_instructions": custom_instructions, "custom_categories": custom_categories}
+        )
         response = self.client.patch(
             f"/api/v1/orgs/organizations/{self.org_id}/projects/{self.project_id}/",
             json=payload,
         )
         response.raise_for_status()
-        capture_client_event("client.update_project", self, {"custom_instructions": custom_instructions, "custom_categories": custom_categories})
+        capture_client_event(
+            "client.update_project",
+            self,
+            {"custom_instructions": custom_instructions, "custom_categories": custom_categories},
+        )
         return response.json()
 
     def chat(self):
@@ -744,35 +754,38 @@ class AsyncMemoryClient:
         return response.json()
 
     @api_error_handler
-    async def get_project(self, fields: Optional[List[str]]=None) -> Dict[str, Any]:
+    async def get_project(self, fields: Optional[List[str]] = None) -> Dict[str, Any]:
         if not (self.sync_client.org_id and self.sync_client.project_id):
             raise ValueError("org_id and project_id must be set to access instructions or categories")
 
-
         params = self._prepare_params({"fields": fields})
         response = await self.async_client.get(
             f"/api/v1/orgs/organizations/{self.sync_client.org_id}/projects/{self.sync_client.project_id}/",
             params=params,
         )
         response.raise_for_status()
-        capture_client_event(
-            "async_client.get_project", self.sync_client, {"fields": fields}
-        )
+        capture_client_event("async_client.get_project", self.sync_client, {"fields": fields})
         return response.json()
 
     @api_error_handler
-    async def update_project(self, custom_instructions: Optional[str], custom_categories: Optional[List[str]]) -> Dict[str, Any]:
+    async def update_project(
+        self, custom_instructions: Optional[str], custom_categories: Optional[List[str]]
+    ) -> Dict[str, Any]:
         if not (self.sync_client.org_id and self.sync_client.project_id):
             raise ValueError("org_id and project_id must be set to update instructions or categories")
 
-        payload = self.sync_client._prepare_params({"custom_instructions": custom_instructions, "custom_categories": custom_categories})
+        payload = self.sync_client._prepare_params(
+            {"custom_instructions": custom_instructions, "custom_categories": custom_categories}
+        )
         response = await self.async_client.patch(
             f"/api/v1/orgs/organizations/{self.sync_client.org_id}/projects/{self.sync_client.project_id}/",
             json=payload,
         )
         response.raise_for_status()
         capture_client_event(
-            "async_client.update_project", self.sync_client, {"custom_instructions": custom_instructions, "custom_categories": custom_categories}
+            "async_client.update_project",
+            self.sync_client,
+            {"custom_instructions": custom_instructions, "custom_categories": custom_categories},
         )
         return response.json()
 

mem0/vector_stores/elasticsearch.py

@@ -5,9 +5,7 @@ try:
     from elasticsearch import Elasticsearch
     from elasticsearch.helpers import bulk
 except ImportError:
-    raise ImportError(
-        "Elasticsearch requires extra dependencies. Install with `pip install elasticsearch`"
-    ) from None
+    raise ImportError("Elasticsearch requires extra dependencies. Install with `pip install elasticsearch`") from None
 
 from pydantic import BaseModel
 
@@ -127,14 +125,7 @@ class ElasticsearchDB(VectorStoreBase):
                         # Exact match filters for memory isolation
                         *({"term": {f"payload.{k}": v}} for k, v in (filters or {}).items()),
                         # KNN vector search
-                        {
-                            "knn": {
-                                "vector": {
-                                    "vector": query,
-                                    "k": limit
-                                }
-                            }
-                        }
+                        {"knn": {"vector": {"vector": query, "k": limit}}},
                     ]
                 }
             }
@@ -144,13 +135,7 @@ class ElasticsearchDB(VectorStoreBase):
 
         results = []
         for hit in response["hits"]["hits"]:
-            results.append(
-                OutputData(
-                    id=hit["_id"],
-                    score=hit["_score"],
-                    payload=hit["_source"].get("payload", {})
-                )
-            )
+            results.append(OutputData(id=hit["_id"], score=hit["_score"], payload=hit["_source"].get("payload", {})))
 
         return results