feat: Add config support for pgvector

Added config support for using pgvector

Feature #COG-170

.env.template

@@ -7,19 +7,19 @@ GRAPHISTRY_PASSWORD=
 
 SENTRY_REPORTING_URL=
 
-GRAPH_DATABASE_PROVIDER="neo4j" # or "networkx"
+GRAPH_DATABASE_PROVIDER="neo4j" # "neo4j" or "networkx"
 # Not needed if using networkx
 GRAPH_DATABASE_URL=
 GRAPH_DATABASE_USERNAME=
 GRAPH_DATABASE_PASSWORD=
 
-VECTOR_ENGINE_PROVIDER="qdrant" # or "weaviate" or "lancedb"
+VECTOR_ENGINE_PROVIDER="qdrant" # or "qdrant", "pgvector", "weaviate" or "lancedb"
 # Not needed if using "lancedb"
 VECTOR_DB_URL=
 VECTOR_DB_KEY=
 
 # Database provider
-DB_PROVIDER="sqlite" # or "postgres"
+DB_PROVIDER="sqlite" # "sqlite" or "postgres"
 
 # Database name
 DB_NAME=cognee_db

README.md

@@ -190,11 +190,11 @@ Cognee supports a variety of tools and services for different operations:
 
 - **Local Setup**: By default, LanceDB runs locally with NetworkX and OpenAI.
 
-- **Vector Stores**: Cognee supports Qdrant and Weaviate for vector storage.
+- **Vector Stores**: Cognee supports LanceDB, Qdrant, PGVector and Weaviate for vector storage.
 
 - **Language Models (LLMs)**: You can use either Anyscale or Ollama as your LLM provider.
 
-- **Graph Stores**: In addition to LanceDB, Neo4j is also supported for graph storage.
+- **Graph Stores**: In addition to NetworkX, Neo4j is also supported for graph storage.
   
 - **User management**: Create individual user graphs and manage permissions
 

cognee/api/client.py

@@ -362,7 +362,7 @@ class LLMConfig(BaseModel):
     apiKey: str
 
 class VectorDBConfig(BaseModel):
-    provider: Union[Literal["lancedb"], Literal["qdrant"], Literal["weaviate"]]
+    provider: Union[Literal["lancedb"], Literal["qdrant"], Literal["weaviate"], Literal["pgvector"]]
     url: str
     apiKey: str
 

cognee/infrastructure/databases/vector/create_vector_engine.py

@@ -26,6 +26,8 @@ def create_vector_engine(config: VectorConfig, embedding_engine):
                 api_key = config["vector_db_key"],
                 embedding_engine = embedding_engine
             )
+    elif config["vector_db_provider"] == "pgvector":
+        pass
     else:
         from .lancedb.LanceDBAdapter import LanceDBAdapter
 

cognee/modules/settings/get_settings.py

@@ -13,6 +13,9 @@ def get_settings():
     }, {
         "value": "lancedb",
         "label": "LanceDB",
+    }, {
+        "value": "pgvector",
+        "label": "PGVector",
     }]
 
     vector_config = get_vectordb_config()

cognee/modules/settings/save_vector_db_config.py

@@ -5,7 +5,7 @@ from cognee.infrastructure.databases.vector import get_vectordb_config
 class VectorDBConfig(BaseModel):
     url: str
     apiKey: str
-    provider: Union[Literal["lancedb"], Literal["qdrant"], Literal["weaviate"]]
+    provider: Union[Literal["lancedb"], Literal["qdrant"], Literal["weaviate"], Literal["pgvector"]]
 
 async def save_vector_db_config(vector_db_config: VectorDBConfig):
     vector_config = get_vectordb_config()

docker-compose.yml

@@ -62,7 +62,7 @@ services:
       - cognee-network
 
   postgres:
-    image: postgres:latest
+    image: pgvector/pgvector:pg17
     container_name: postgres
     environment:
       POSTGRES_USER: cognee