diff --git a/integrations/pgvector/src/haystack_integrations/document_stores/pgvector/document_store.py b/integrations/pgvector/src/haystack_integrations/document_stores/pgvector/document_store.py
index c7458813e..f85412622 100644
--- a/integrations/pgvector/src/haystack_integrations/document_stores/pgvector/document_store.py
+++ b/integrations/pgvector/src/haystack_integrations/document_stores/pgvector/document_store.py
@@ -20,16 +20,19 @@
 
 logger = logging.getLogger(__name__)
 
-TABLE_DEFINITION = [
-    ("id", "VARCHAR(128)", "PRIMARY KEY"),
-    ("embedding", "VECTOR({embedding_dimension})", ""),
-    ("content", "TEXT", ""),
-    ("dataframe", "JSON", ""),
-    ("blob_data", "BYTEA", ""),
-    ("blob_meta", "JSON", ""),
-    ("blob_mime_type", "VARCHAR(255)", ""),
-    ("meta", "JSON", ""),
-]
+CREATE_TABLE_STATEMENT = """
+CREATE TABLE IF NOT EXISTS {table_name} (
+id VARCHAR(128) PRIMARY KEY,
+embedding VECTOR({embedding_dimension}),
+content TEXT,
+dataframe JSON,
+blob_data BYTEA,
+blob_meta JSON,
+blob_mime_type VARCHAR(255),
+meta JSON)
+"""
+
+COLUMNS = [el.split()[0] for el in CREATE_TABLE_STATEMENT.splitlines()[2:-1]]
 
 SIMILARITY_FUNCTION_TO_POSTGRESQL_OPS = {
     "cosine_distance": "vector_cosine_ops",
@@ -49,9 +52,7 @@ def __init__(
         connection_string: str,
         table_name: str = "haystack_documents",
         embedding_dimension: int = 768,
-        embedding_similarity_function: Literal[
-            "cosine_distance", "inner_product", "l2_distance"
-        ] = "cosine_distance",
+        embedding_similarity_function: Literal["cosine_distance", "inner_product", "l2_distance"] = "cosine_distance",
         recreate_table: bool = False,
         search_strategy: Literal["exact_nearest_neighbor", "hnsw"] = "exact_nearest_neighbor",
         hnsw_recreate_index_if_exists: bool = False,
@@ -154,9 +155,7 @@ def _create_table_if_not_exists(self):
         Creates the table to store Haystack documents if it doesn't exist yet.
         """
 
-        table_structure_str = ", ".join(f"{name} {dtype} {constraint}" for name, dtype, constraint in TABLE_DEFINITION)
-
-        create_sql = SQL("CREATE TABLE IF NOT EXISTS {table_name} (" + table_structure_str + ")").format(
+        create_sql = SQL(CREATE_TABLE_STATEMENT).format(
             table_name=Identifier(self.table_name), embedding_dimension=SQLLiteral(self.embedding_dimension)
         )
 
@@ -276,8 +275,8 @@ def write_documents(self, documents: List[Document], policy: DuplicatePolicy = D
 
         db_documents = self._from_haystack_to_pg_documents(documents)
 
-        columns_str = "(" + ", ".join(col for col, *_ in TABLE_DEFINITION) + ")"
-        values_placeholder_str = "VALUES (" + ", ".join(f"%({col})s" for col, *_ in TABLE_DEFINITION) + ")"
+        columns_str = "(" + ", ".join(col for col, *_ in COLUMNS) + ")"
+        values_placeholder_str = "VALUES (" + ", ".join(f"%({col})s" for col, *_ in COLUMNS) + ")"
 
         insert_statement = SQL("INSERT INTO {table_name} " + columns_str + " " + values_placeholder_str).format(
             table_name=Identifier(self.table_name)
@@ -286,7 +285,7 @@ def write_documents(self, documents: List[Document], policy: DuplicatePolicy = D
         if policy == DuplicatePolicy.OVERWRITE:
             update_statement = SQL(
                 "ON CONFLICT (id) DO UPDATE SET "
-                + ", ".join(f"{col} = EXCLUDED.{col}" for col, *_ in TABLE_DEFINITION if col != "id")
+                + ", ".join(f"{col} = EXCLUDED.{col}" for col, *_ in COLUMNS if col != "id")
             )
             insert_statement += update_statement
         elif policy == DuplicatePolicy.SKIP: