Improve retrieval of deep workspace evidence

SovereignAI-Starter/app/main.py

@@ -599,7 +599,12 @@ def list_agent_skills() -> dict[str, Any]:
 async def _search_local_knowledge(
     query: str, *, user_id: str, workspace_path: Any
 ) -> tuple[list[dict[str, Any]], str]:
-    lexical = knowledge.search(query, user_id=user_id, workspace_path=workspace_path)
+    lexical = knowledge.search(
+        query,
+        user_id=user_id,
+        workspace_path=workspace_path,
+        limit=knowledge.MAX_SEARCH_RESULTS,
+    )
     model_name = embeddings.embedding_model_name()
     if not model_name or not knowledge.has_embeddings(
         user_id=user_id, workspace_path=workspace_path, model=model_name
@@ -612,13 +617,16 @@ async def _search_local_knowledge(
             user_id=user_id,
             workspace_path=workspace_path,
             model=model_name,
+            limit=knowledge.MAX_SEARCH_RESULTS,
         )
     except (embeddings.EmbeddingUnavailable, ValueError, IndexError) as exc:
         logger.warning("Local semantic knowledge search unavailable: %s", exc)
         return lexical, "keyword"
     if not semantic:
         return lexical, "keyword"
-    return knowledge.merge_search_results(lexical, semantic), "hybrid"
+    return knowledge.merge_search_results(
+        lexical, semantic, limit=knowledge.MAX_SEARCH_RESULTS
+    ), "hybrid"
 
 
 @app.post("/v1/agent/knowledge/index")