Added Postgres pipeline storage

graphrag/config/enums.py

@@ -53,6 +53,8 @@ class StorageType(str, Enum):
     """The blob output type."""
     cosmosdb = "cosmosdb"
     """The cosmosdb output type"""
+    postgres = "postgres"
+    """The postgres output type."""
 
     def __repr__(self):
         """Get a string representation."""

graphrag/config/models/storage_config.py

@@ -50,3 +50,45 @@ def validate_base_dir(cls, value, info):
         description="The cosmosdb account url to use.",
         default=graphrag_config_defaults.storage.cosmosdb_account_url,
     )
+
+    ### PostgreSQL
+    host: str = Field(
+        description="PostgreSQL server host (for postgres type).",
+        default="localhost"
+    )
+    port: int = Field(
+        description="PostgreSQL server port (for postgres type).",
+        default=5432
+    )
+    database: str = Field(
+        description="PostgreSQL database name (for postgres type).",
+        default="graphrag"
+    )
+    username: str | None = Field(
+        description="PostgreSQL username for authentication (for postgres type).",
+        default=None
+    )
+    password: str | None = Field(
+        description="PostgreSQL password for authentication (for postgres type).",
+        default=None
+    )
+    collection_prefix: str = Field(
+        description="Prefix for PostgreSQL collection names (for postgres type).",
+        default="graphrag_"
+    )
+    batch_size: int = Field(
+        description="Batch size for database operations (for postgres type).",
+        default=50
+    )
+    command_timeout: int = Field(
+        description="Command timeout for database operations (for postgres type).",
+        default=600
+    )
+    server_timeout: int = Field(
+        description="Server timeout for database connections (for postgres type).",
+        default=120
+    )
+    connection_timeout: int = Field(
+        description="Connection timeout for establishing database connections (for postgres type).",
+        default=60
+    )

graphrag/index/operations/finalize_entities.py

@@ -22,6 +22,9 @@ def finalize_entities(
     layout_enabled: bool = False,
 ) -> pd.DataFrame:
     """All the steps to transform final entities."""
+    # # Remove the default column degree, x and y for Postgres storage compatibility. And below entities.merge method
+    # # will add them back with calculated values.
+    entities = entities.drop(columns=["degree", "x", "y"], errors="ignore")
     graph = create_graph(relationships, edge_attr=["weight"])
     graph_embeddings = None
     if embed_config is not None and embed_config.enabled:
@@ -45,9 +48,12 @@ def finalize_entities(
     final_entities["degree"] = final_entities["degree"].fillna(0).astype(int)
     final_entities.reset_index(inplace=True)
     final_entities["human_readable_id"] = final_entities.index
-    final_entities["id"] = final_entities["human_readable_id"].apply(
-        lambda _x: str(uuid4())
-    )
+
+    # Generate id if id is empty
+    if "id" not in final_entities.columns or final_entities["id"].isna().all():
+        final_entities["id"] = final_entities["human_readable_id"].apply(
+            lambda _x: str(uuid4())
+        )
     return final_entities.loc[
         :,
         ENTITIES_FINAL_COLUMNS,

graphrag/index/operations/finalize_relationships.py

@@ -34,9 +34,12 @@ def finalize_relationships(
 
     final_relationships.reset_index(inplace=True)
     final_relationships["human_readable_id"] = final_relationships.index
-    final_relationships["id"] = final_relationships["human_readable_id"].apply(
-        lambda _x: str(uuid4())
-    )
+
+    # Generate id if there is no id
+    if "id" not in final_relationships.columns or final_relationships["id"].isna().all():
+        final_relationships["id"] = final_relationships["human_readable_id"].apply(
+            lambda _x: str(uuid4())
+        )
 
     return final_relationships.loc[
         :,

graphrag/index/workflows/create_communities.py

@@ -125,7 +125,11 @@ def create_communities(
 
     # join it all up and add some new fields
     final_communities = all_grouped.merge(entity_ids, on="community", how="inner")
-    final_communities["id"] = [str(uuid4()) for _ in range(len(final_communities))]
+
+    # Generate id if there is no id
+    if "id" not in final_communities.columns or final_communities["id"].isna().all():
+        final_communities["id"] = [str(uuid4()) for _ in range(len(final_communities))]
+
     final_communities["human_readable_id"] = final_communities["community"]
     final_communities["title"] = "Community " + final_communities["community"].astype(
         str

graphrag/storage/factory.py

@@ -8,6 +8,7 @@
 from typing import TYPE_CHECKING, ClassVar
 
 from graphrag.config.enums import StorageType
+from graphrag.storage.postgres_pipeline_storage import PostgresPipelineStorage
 from graphrag.storage.blob_pipeline_storage import BlobPipelineStorage
 from graphrag.storage.cosmosdb_pipeline_storage import CosmosDBPipelineStorage
 from graphrag.storage.file_pipeline_storage import FilePipelineStorage
@@ -81,3 +82,4 @@ def is_supported_type(cls, storage_type: str) -> bool:
 StorageFactory.register(StorageType.cosmosdb.value, CosmosDBPipelineStorage)
 StorageFactory.register(StorageType.file.value, FilePipelineStorage)
 StorageFactory.register(StorageType.memory.value, MemoryPipelineStorage)
+StorageFactory.register(StorageType.postgres.value, PostgresPipelineStorage)