diff --git a/graphrag/api/index.py b/graphrag/api/index.py
index 2ad41c2f40..d473487f0d 100644
--- a/graphrag/api/index.py
+++ b/graphrag/api/index.py
@@ -70,7 +70,9 @@ async def build_index(
     if memory_profile:
         log.warning("New pipeline does not yet support memory profiling.")
 
+    workflows = _get_workflow_list(config)
     async for output in run_workflows(
+        workflows,
         config,
         cache=pipeline_cache,
         callbacks=callbacks,
@@ -87,3 +89,24 @@ async def build_index(
             progress_logger.info(str(output.result))
 
     return outputs
+
+
+# TODO: this is staging for being able to select a set of default workflows based on config and API params
+# right now the primary test we do is whether to include claim extraction or not.
+# this will eventually move into config as a list, populated via CLI params.
+def _get_workflow_list(config: GraphRagConfig) -> list[str]:
+    """Get the list of workflows from the config."""
+    return [
+        "create_base_text_units",
+        "create_final_documents",
+        "extract_graph",
+        "compute_communities",
+        "create_final_entities",
+        "create_final_relationships",
+        "create_final_nodes",
+        "create_final_communities",
+        *(["create_final_covariates"] if config.claim_extraction.enabled else []),
+        "create_final_text_units",
+        "create_final_community_reports",
+        "generate_text_embeddings",
+    ]
diff --git a/graphrag/index/run/run_workflows.py b/graphrag/index/run/run_workflows.py
index c264462799..fe2deef3a8 100644
--- a/graphrag/index/run/run_workflows.py
+++ b/graphrag/index/run/run_workflows.py
@@ -38,22 +38,6 @@
 
 log = logging.getLogger(__name__)
 
-
-default_workflows = [
-    "create_base_text_units",
-    "create_final_documents",
-    "extract_graph",
-    "compute_communities",
-    "create_final_entities",
-    "create_final_relationships",
-    "create_final_nodes",
-    "create_final_communities",
-    "create_final_covariates",
-    "create_final_text_units",
-    "create_final_community_reports",
-    "generate_text_embeddings",
-]
-
 # these are transient outputs written to storage for downstream workflow use
 # they are not required after indexing, so we'll clean them up at the end for clarity
 # (unless snapshots.transient is set!)
@@ -67,6 +51,7 @@
 
 
 async def run_workflows(
+    workflows: list[str],
     config: GraphRagConfig,
     cache: PipelineCache | None = None,
     callbacks: list[WorkflowCallbacks] | None = None,
@@ -115,6 +100,7 @@ async def run_workflows(
         # Run the pipeline on the new documents
         tables_dict = {}
         async for table in _run_workflows(
+            workflows=workflows,
             config=config,
             dataset=delta_dataset.new_inputs,
             cache=cache,
@@ -140,6 +126,7 @@ async def run_workflows(
         progress_logger.info("Running standard indexing.")
 
         async for table in _run_workflows(
+            workflows=workflows,
             config=config,
             dataset=dataset,
             cache=cache,
@@ -151,6 +138,7 @@ async def run_workflows(
 
 
 async def _run_workflows(
+    workflows: list[str],
     config: GraphRagConfig,
     dataset: pd.DataFrame,
     cache: PipelineCache,
@@ -170,7 +158,7 @@ async def _run_workflows(
         await _dump_stats(context.stats, context.storage)
         await write_table_to_storage(dataset, "input", context.storage)
 
-        for workflow in default_workflows:
+        for workflow in workflows:
             last_workflow = workflow
             run_workflow = all_workflows[workflow]
             progress = logger.child(workflow, transient=False)