diff --git a/apps/knowledge/knowledge.yaml b/apps/knowledge/knowledge.yaml
index d8c885a..35497d9 100644
--- a/apps/knowledge/knowledge.yaml
+++ b/apps/knowledge/knowledge.yaml
@@ -102,7 +102,7 @@ spec:
         - name: web
           # Placeholder tag — bump to the image you built + imported to ALL
           # RKE2 nodes via scripts/deploy-knowledge.sh before applying.
-          image: localhost/fc-knowledge-web:v20260429225548
+          image: localhost/fc-knowledge-web:v20260429232635
           imagePullPolicy: Never
           command:
             - /bin/sh
@@ -124,7 +124,7 @@ spec:
             - name: DOTNET_SYSTEM_GLOBALIZATION_INVARIANT
               value: "false"
             # Vector-store directory + embedding model + edition profile dir.
-            # Profile JSON is baked into the image at /app/editions via the
+            # Profile JSON is baked into the image at /home/app/editions via the
             # csproj Content-link from FlowerCore.Common/editions/.
             - name: Knowledge__VectorStoresDirectory
               value: "/data/vector-stores"
@@ -135,7 +135,7 @@ spec:
             - name: Knowledge__MaxLimit
               value: "50"
             - name: FlowerCore__Editions__ProfileDirectory
-              value: "/app/editions"
+              value: "/home/app/editions"
             # Embed via edge1 Pi 5 + AI HAT+ (10.0.57.17:11434). Cluster
             # services do not depend on BLUEJAY-WS (private dev hardware) per
             # bluejay-infra@0f9d56e. Query-time embedding is fast enough on
@@ -201,7 +201,7 @@ spec:
             - name: tmp
               mountPath: /tmp
             - name: logs
-              mountPath: /app/logs
+              mountPath: /home/app/logs
       volumes:
         - name: vector-store
           persistentVolumeClaim: