style(vector_io): fix ruff format line length in pool test

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Signed-off-by: Ian Miller <milleryan2003@gmail.com>

Author: r3v5

src/ogx/providers/remote/vector_io/pgvector/pgvector.py

@@ -582,6 +582,8 @@ async def create_hnsw_vector_index(self, conn: asyncpg.Connection) -> None:
             index_operator_class = self.get_pgvector_index_operator_class()
             index_name = _quote_ident(f"{self.table_name}_hnsw_idx")
 
+            # Create HNSW (Hierarchical Navigable Small Worlds) index on embedding column to allow efficient and performant vector search in pgvector
+            # HNSW finds the approximate nearest neighbors by only calculating distance metric for vectors it visits during graph traversal instead of processing all vectors
             await conn.execute(
                 f"""
                 CREATE INDEX IF NOT EXISTS {index_name}
@@ -623,6 +625,9 @@ async def create_ivfflat_vector_index(self, conn: asyncpg.Connection) -> None:
             index_operator_class = self.get_pgvector_index_operator_class()
             index_name = _quote_ident(f"{self.table_name}_ivfflat_idx")
 
+            # Create Inverted File with Flat Compression (IVFFlat) index on embedding column to allow efficient and performant vector search in pgvector
+            # IVFFlat index divides vectors into lists, and then searches a subset of those lists that are closest to the query vector
+            # Index should be created only after the table has some data (https://github.com/pgvector/pgvector?tab=readme-ov-file#ivfflat)
             await conn.execute(
                 f"""
                 CREATE INDEX IF NOT EXISTS {index_name}

tests/unit/providers/vector_io/test_vector_io_stores_config.py

@@ -475,7 +475,9 @@ async def test_adapter_initialize_cleans_up_pool_on_index_failure():
     adapter = _make_pgvector_adapter()
     pool, mock_conn = _make_mock_asyncpg_pool()
 
-    with patch("ogx.providers.remote.vector_io.pgvector.pgvector.kvstore_impl", new_callable=AsyncMock) as mock_kvstore_impl:
+    with patch(
+        "ogx.providers.remote.vector_io.pgvector.pgvector.kvstore_impl", new_callable=AsyncMock
+    ) as mock_kvstore_impl:
         mock_kvstore = AsyncMock()
         mock_kvstore.values_in_range = AsyncMock(
             return_value=['{"identifier":"vs1","embedding_model":"m","embedding_dimension":768,"provider_id":"p"}']