diff --git a/api/services/agent/dependency_service.py b/api/services/agent/dependency_service.py
index 9af0b0ff6ac..b523cb3d039 100644
--- a/api/services/agent/dependency_service.py
+++ b/api/services/agent/dependency_service.py
@@ -1,9 +1,46 @@
 """Plugin dependency discovery shared by portable Agent formats."""
 
-from models.agent_config_entities import AgentSoulConfig
+from models.agent_config_entities import (
+    AgentKnowledgeMetadataFilteringConfig,
+    AgentKnowledgeRetrievalConfig,
+    AgentSoulConfig,
+)
 from services.plugin.dependencies_analysis import DependenciesAnalysisService
 
 
+def _extract_knowledge_retrieval_dependencies(retrieval: AgentKnowledgeRetrievalConfig) -> list[str]:
+    if retrieval.mode == "single":
+        if retrieval.model is None:
+            return []
+        return [DependenciesAnalysisService.analyze_model_provider_dependency(retrieval.model.provider)]
+
+    if not retrieval.reranking_enable:
+        return []
+
+    if retrieval.reranking_mode == "reranking_model":
+        if retrieval.reranking_model is None:
+            return []
+        return [DependenciesAnalysisService.analyze_model_provider_dependency(retrieval.reranking_model.provider)]
+
+    if retrieval.reranking_mode == "weighted_score" and retrieval.weights is not None:
+        vector_setting = retrieval.weights.vector_setting
+        embedding_provider = vector_setting.get("embedding_provider_name") if vector_setting is not None else None
+        if embedding_provider:
+            return [DependenciesAnalysisService.analyze_model_provider_dependency(embedding_provider)]
+
+    return []
+
+
+def _extract_metadata_filtering_dependencies(
+    metadata_filtering: AgentKnowledgeMetadataFilteringConfig,
+) -> list[str]:
+    if metadata_filtering.mode != "automatic" or metadata_filtering.metadata_model_config is None:
+        return []
+    return [
+        DependenciesAnalysisService.analyze_model_provider_dependency(metadata_filtering.metadata_model_config.provider)
+    ]
+
+
 def extract_agent_soul_dependencies(soul: AgentSoulConfig) -> list[str]:
     dependencies: list[str] = []
     if soul.model is not None:
@@ -20,13 +57,8 @@ def extract_agent_soul_dependencies(soul: AgentSoulConfig) -> list[str]:
         if provider_id:
             dependencies.append(DependenciesAnalysisService.analyze_tool_dependency(provider_id))
     for knowledge_set in soul.knowledge.sets:
-        retrieval = knowledge_set.retrieval
-        if retrieval.model is not None:
-            dependencies.append(DependenciesAnalysisService.analyze_model_provider_dependency(retrieval.model.provider))
-        if retrieval.reranking_model is not None:
-            dependencies.append(
-                DependenciesAnalysisService.analyze_model_provider_dependency(retrieval.reranking_model.provider)
-            )
+        dependencies.extend(_extract_knowledge_retrieval_dependencies(knowledge_set.retrieval))
+        dependencies.extend(_extract_metadata_filtering_dependencies(knowledge_set.metadata_filtering))
     return dependencies
 
 
diff --git a/api/tests/unit_tests/services/agent/test_agent_dsl_service.py b/api/tests/unit_tests/services/agent/test_agent_dsl_service.py
index b9c5664fa0f..f14b2b9fc62 100644
--- a/api/tests/unit_tests/services/agent/test_agent_dsl_service.py
+++ b/api/tests/unit_tests/services/agent/test_agent_dsl_service.py
@@ -573,9 +573,49 @@ def test_extract_package_dependencies_covers_models_features_tools_and_knowledge
                         "retrieval": {
                             "mode": "single",
                             "model": {"provider": "provider/retrieval", "name": "embed", "mode": "embedding"},
+                        },
+                        "metadata_filtering": {
+                            "mode": "automatic",
+                            "model_config": {
+                                "provider": "provider/metadata",
+                                "name": "metadata-model",
+                                "mode": "chat",
+                            },
+                        },
+                    },
+                    {
+                        "id": "set-2",
+                        "name": "Reranked Set",
+                        "datasets": [{"id": "dataset-2", "name": "Reranked Docs"}],
+                        "query": {"mode": "user_query", "value": "query"},
+                        "retrieval": {
+                            "mode": "multiple",
+                            "top_k": 5,
+                            "reranking_enable": True,
+                            "reranking_mode": "reranking_model",
                             "reranking_model": {"provider": "provider/rerank", "model": "rerank"},
                         },
-                    }
+                    },
+                    {
+                        "id": "set-3",
+                        "name": "Weighted Set",
+                        "datasets": [{"id": "dataset-3", "name": "Weighted Docs"}],
+                        "query": {"mode": "user_query", "value": "query"},
+                        "retrieval": {
+                            "mode": "multiple",
+                            "top_k": 5,
+                            "reranking_enable": True,
+                            "reranking_mode": "weighted_score",
+                            "weights": {
+                                "vector_setting": {
+                                    "embedding_provider_name": "provider/embedding",
+                                    "embedding_model_name": "embedding-model",
+                                    "vector_weight": 0.7,
+                                },
+                                "keyword_setting": {"keyword_weight": 0.3},
+                            },
+                        },
+                    },
                 ]
             },
         }
@@ -591,10 +631,68 @@ def test_extract_package_dependencies_covers_models_features_tools_and_knowledge
         "tool:provider/tool",
         "tool:plugin-id/fallback-provider",
         "model:provider/retrieval",
+        "model:provider/metadata",
         "model:provider/rerank",
+        "model:provider/embedding",
     ]
 
 
+def test_extract_package_dependencies_ignores_inactive_knowledge_models(
+    monkeypatch: pytest.MonkeyPatch, unbound_session: Session
+) -> None:
+    model_dependency = Mock(side_effect=lambda provider: f"model:{provider}")
+    monkeypatch.setattr(
+        "services.agent.dependency_service.DependenciesAnalysisService.analyze_model_provider_dependency",
+        model_dependency,
+    )
+    soul = AgentSoulConfig.model_validate(
+        {
+            "knowledge": {
+                "sets": [
+                    {
+                        "id": "set-1",
+                        "name": "Set",
+                        "datasets": [{"id": "dataset-1", "name": "Docs"}],
+                        "query": {"mode": "user_query", "value": "query"},
+                        "retrieval": {
+                            "mode": "multiple",
+                            "top_k": 5,
+                            "reranking_enable": False,
+                            "reranking_mode": "weighted_score",
+                            "reranking_model": {"provider": "provider/inactive-rerank", "model": "rerank"},
+                            "weights": {
+                                "vector_setting": {
+                                    "embedding_provider_name": "provider/inactive-embedding",
+                                }
+                            },
+                            "model": {
+                                "provider": "provider/inactive-retrieval",
+                                "name": "retrieval-model",
+                                "mode": "chat",
+                            },
+                        },
+                        "metadata_filtering": {
+                            "mode": "disabled",
+                            "model_config": {
+                                "provider": "provider/inactive-metadata",
+                                "name": "metadata-model",
+                                "mode": "chat",
+                            },
+                        },
+                    }
+                ]
+            }
+        }
+    )
+
+    dependencies = AgentDslService(unbound_session).extract_package_dependencies(
+        {"agent_1": make_portable_agent_package(_agent(), soul)}
+    )
+
+    assert dependencies == []
+    model_dependency.assert_not_called()
+
+
 def test_create_imported_inline_agent_uses_import_provenance(unbound_session: Session) -> None:
     service = AgentDslService(unbound_session)
     soul = AgentSoulConfig(config_note="inline")