diff --git a/CHANGELOG.md b/CHANGELOG.md
index 1840adf3..785461d6 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -18,6 +18,11 @@ OpenAI, `https://api.openai.com/v1`) and drop any `provider/` prefix from `CLOUD
 - **`litellm` is gone from the image (QP-11, ADR-4).** It carried CVE-2026-114612, in a
   proxy server LocalChat never ran, and every fixed version pulls `boto3` into the image.
   The `pip-audit` suppression for it is removed; `SECURITY.md` item 12 is resolved.
+- **Retrieval no longer consults the query cache.** Its key names no workspace, knowledge
+  tier or document filter, so a hit would have served one workspace's results to another.
+  The path was never reached (`_get_app_cache()` returns `None`), which is why it is
+  removed rather than fixed: re-enabling it would have reopened the leak. Found by the
+  separate review of #527.
 
 ### Changed
 
diff --git a/src/cache/managers.py b/src/cache/managers.py
index 941be46e..9c27d2db 100644
--- a/src/cache/managers.py
+++ b/src/cache/managers.py
@@ -37,7 +37,12 @@ def get_stats(self) -> CacheStats | dict[str, Any]:
 
 
 class QueryCache:
-    """Parameter-hashed cache for RAG retrieval results."""
+    """Parameter-hashed cache for RAG retrieval results.
+
+    The key names no workspace, knowledge tier or document filter, so it must never hold
+    a scoped retrieval's results: they would be served to another workspace. Retrieval
+    used to consult it on a path that was never reached, and no longer does.
+    """
 
     def __init__(
         self,
diff --git a/src/rag/retrieval.py b/src/rag/retrieval.py
index e715c3b2..03dac4fb 100644
--- a/src/rag/retrieval.py
+++ b/src/rag/retrieval.py
@@ -194,19 +194,6 @@ def _log_similarity_miss(
             best = max(all_results.values(), key=lambda x: x['semantic_score'])
             logger.warning(f"[RAG] Best similarity was {best['semantic_score']:.3f}")
 
-    def _store_query_cache(
-        self,
-        cache: Any,
-        query_clean: str,
-        top_k: int,
-        min_similarity: float,
-        use_hybrid_search: bool,
-        output: list,
-    ) -> None:
-        """Populate the query cache when results are available."""
-        if cache is not None and output:
-            cache.set(query_clean, top_k, min_similarity, use_hybrid_search, output)
-
     def _run_retrieval_pipeline(
         self,
         query_clean: str,
@@ -436,17 +423,8 @@ def retrieve_context(
             except Exception as graph_exc:  # noqa: BLE001 — GraphRAG expansion is optional; the query proceeds unexpanded
                 logger.debug(f"[GraphRAG] Expansion skipped: {graph_exc}")
 
-        _app_query_cache = self._get_app_cache()
         _app_emb_cache = self._get_app_cache()
 
-        cached_result = (
-            _app_query_cache.get(query_clean, top_k, min_similarity, use_hybrid_search)
-            if _app_query_cache is not None else None
-        )
-        if cached_result is not None:
-            logger.info("[RAG] Query cache hit")
-            return cached_result
-
         embedding_model = self._ollama_client.get_embedding_model()
         if not embedding_model:
             logger.error("[RAG] No embedding model available")
@@ -497,7 +475,6 @@ def retrieve_context(
 
         total_time = time.time() - start_time
         logger.info(f"[RAG] Retrieved {len(output)} chunks in {total_time:.3f}s")
-        self._store_query_cache(_app_query_cache, query_clean, top_k, min_similarity, use_hybrid_search, output)
         return output
 
     def _get_cached_embedding(self, text: str, model: str, app_cache=None) -> list[float] | None:
diff --git a/tests/unit/test_global_knowledge_retrieval.py b/tests/unit/test_global_knowledge_retrieval.py
index 4e26dced..3eccf669 100644
--- a/tests/unit/test_global_knowledge_retrieval.py
+++ b/tests/unit/test_global_knowledge_retrieval.py
@@ -165,3 +165,13 @@ def test_the_workspace_tier_is_unchanged(method):
     assert "d.workspace_id = %s" in sql
     assert GLOBAL_MARKER not in sql
     assert WORKSPACE in params
+
+
+def test_no_cached_result_is_served_in_place_of_a_scoped_search(retriever):
+    """The query cache's key names no workspace; a hit from another one must never be returned."""
+    foreign = MagicMock()
+    # The query cache's lookup took four arguments; the embedding cache's (text, model) misses.
+    foreign.get.side_effect = lambda *args: ["another workspace's chunk"] if len(args) == 4 else None
+    with patch.object(Retriever, "_get_app_cache", return_value=foreign):
+        results = retriever.retrieve_context("migration lessons", scope=WORKSPACE)
+    assert (_ids(results), {scope for _, scope, _ in retriever._db.calls}) == ({1}, {WORKSPACE})