diff --git a/Dockerfile b/Dockerfile
index 2da41e287..780caaeaf 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -10,7 +10,7 @@ ADD ./api ./api
 ADD ./conf ./conf
 ADD ./deepdoc ./deepdoc
 ADD ./rag ./rag
-ADD ./graph ./graph
+ADD ./agent ./agent
 
 ENV PYTHONPATH=/ragflow/
 ENV HF_ENDPOINT=https://hf-mirror.com
diff --git a/Dockerfile.arm b/Dockerfile.arm
index b64401e18..9dfc80e7e 100644
--- a/Dockerfile.arm
+++ b/Dockerfile.arm
@@ -21,7 +21,7 @@ ADD ./api ./api
 ADD ./conf ./conf
 ADD ./deepdoc ./deepdoc
 ADD ./rag ./rag
-ADD ./graph ./graph
+ADD ./agent ./agent
 
 ENV PYTHONPATH=/ragflow/
 ENV HF_ENDPOINT=https://hf-mirror.com
diff --git a/Dockerfile.cuda b/Dockerfile.cuda
index 81a444d7c..c8905e280 100644
--- a/Dockerfile.cuda
+++ b/Dockerfile.cuda
@@ -15,7 +15,7 @@ ADD ./api ./api
 ADD ./conf ./conf
 ADD ./deepdoc ./deepdoc
 ADD ./rag ./rag
-ADD ./graph ./graph
+ADD ./agent ./agent
 
 ENV PYTHONPATH=/ragflow/
 ENV HF_ENDPOINT=https://hf-mirror.com
diff --git a/Dockerfile.scratch b/Dockerfile.scratch
index a607b63bc..26b707f30 100644
--- a/Dockerfile.scratch
+++ b/Dockerfile.scratch
@@ -30,7 +30,7 @@ ADD ./conf ./conf
 ADD ./deepdoc ./deepdoc
 ADD ./rag ./rag
 ADD ./requirements.txt ./requirements.txt
-ADD ./graph ./graph
+ADD ./agent ./agent
 
 RUN apt install openmpi-bin openmpi-common libopenmpi-dev
 ENV LD_LIBRARY_PATH /usr/lib/x86_64-linux-gnu/openmpi/lib:$LD_LIBRARY_PATH
diff --git a/Dockerfile.scratch.oc9 b/Dockerfile.scratch.oc9
index 905334386..548a8ebc8 100644
--- a/Dockerfile.scratch.oc9
+++ b/Dockerfile.scratch.oc9
@@ -30,7 +30,7 @@ ADD ./conf ./conf
 ADD ./deepdoc ./deepdoc
 ADD ./rag ./rag
 ADD ./requirements.txt ./requirements.txt
-ADD ./graph ./graph
+ADD ./agent ./agent
 
 RUN dnf install -y openmpi openmpi-devel python3-openmpi
 ENV C_INCLUDE_PATH /usr/include/openmpi-x86_64:$C_INCLUDE_PATH
diff --git a/graphrag/leiden.py b/graphrag/leiden.py
index 945ef585e..4fa1720ab 100644
--- a/graphrag/leiden.py
+++ b/graphrag/leiden.py
@@ -25,6 +25,7 @@ from graspologic.partition import hierarchical_leiden
 from graspologic.utils import largest_connected_component
 
 import networkx as nx
+from networkx import is_empty
 
 log = logging.getLogger(__name__)
 
@@ -91,13 +92,14 @@ def _compute_leiden_communities(
         seed=0xDEADBEEF,
 ) -> dict[int, dict[str, int]]:
     """Return Leiden root communities."""
+    results: dict[int, dict[str, int]] = {}
+    if is_empty(graph): return results
     if use_lcc:
         graph = stable_largest_connected_component(graph)
 
     community_mapping = hierarchical_leiden(
         graph, max_cluster_size=max_cluster_size, random_seed=seed
     )
-    results: dict[int, dict[str, int]] = {}
     for partition in community_mapping:
         results[partition.level] = results.get(partition.level, {})
         results[partition.level][partition.node] = partition.cluster