Sqlite works, made fixes in config so it becomes a basis, added a few mods on top

cognitive_architecture/config.py

@@ -28,7 +28,7 @@ class Config:
 
     db_path = Path(__file__).resolve().parent / "database/data"
 
-    vectordb: str = "weaviate"
+    vectordb: str = os.getenv("VECTORDB", "weaviate")
     db_type: str = os.getenv("DB_TYPE", "postgres")
     db_name: str = os.getenv("DB_NAME", "cognee.db")
     db_host: str = os.getenv("DB_HOST", "localhost")

cognitive_architecture/database/vectordb/basevectordb.py

@@ -53,9 +53,9 @@ OPENAI_API_KEY = os.getenv("OPENAI_API_KEY", "")
 class VectorDBFactory:
     def __init__(self):
         self.db_map = {
-            VectorDBType.PINECONE: PineconeVectorDB,
-            VectorDBType.WEAVIATE: WeaviateVectorDB,
-            VectorDBType.LANCEDB: LanceDB,
+            VectorDBType.PINECONE.value: PineconeVectorDB,
+            VectorDBType.WEAVIATE.value: WeaviateVectorDB,
+            VectorDBType.LANCEDB.value: LanceDB,
             # Add more database types and their corresponding classes here
         }
 
@@ -68,6 +68,8 @@ class VectorDBFactory:
         namespace: str = None,
         embeddings=None,
     ):
+        logging.info(f"db_type: {db_type}")
+        logging.info(f"embeddings: {self.db_map}")
         if db_type in self.db_map:
             return self.db_map[db_type](
                 user_id, index_name, memory_id, namespace, embeddings

cognitive_architecture/vectorstore_manager.py

@@ -1,34 +1,18 @@
 import logging
 
 from sqlalchemy.future import select
-
 logging.basicConfig(level=logging.INFO)
-
-import os
-
-print(os.getcwd())
-
-
 from cognitive_architecture.database.relationaldb.models.user import User
 from cognitive_architecture.database.relationaldb.models.memory import MemoryModel
-
 import ast
 import tracemalloc
 from cognitive_architecture.database.relationaldb.database_crud import add_entity
-
 tracemalloc.start()
-
-import os
 from dotenv import load_dotenv
 import uuid
-
-load_dotenv()
-
-
 from cognitive_architecture.database.vectordb.basevectordb import BaseMemory
-
 from cognitive_architecture.config import Config
-
+load_dotenv()
 config = Config()
 config.load()
 
@@ -41,7 +25,7 @@ class DynamicBaseMemory(BaseMemory):
         memory_id: str,
         index_name: str,
         db_type: str,
-        namespace: str,
+        namespace: str=None,
         embeddings=None,
     ):
         super().__init__(user_id, memory_id, index_name, db_type, namespace, embeddings)
@@ -137,7 +121,7 @@ class Memory:
         user_id: str = "676",
         session=None,
         index_name: str = None,
-        db_type: str = None,
+        db_type: str = config.vectordb,
         namespace: str = None,
         memory_id: str = None,
         memory_class=None,