feat: modify search rephrase prompt

Author: CaralHsi

src/memos/memories/textual/tree_text_memory/retrieve/bochasearch.py

@@ -218,7 +218,9 @@ def _process_result(
         memory_items = []
         for read_item_i in read_items[0]:
             read_item_i.memory = (
-                f"Title: {title}\nNewsTime: {publish_time}\nSummary: {summary}\n"
+                f"[Outer internet view] Title: {title}\nNewsTime:"
+                f" {publish_time}\nSummary:"
+                f" {summary}\n"
                 f"Content: {read_item_i.memory}"
             )
             read_item_i.metadata.source = "web"

src/memos/memories/textual/tree_text_memory/retrieve/recall.py

@@ -179,7 +179,7 @@ def _vector_recall(
         query_embedding: list[list[float]],
         memory_scope: str,
         top_k: int = 20,
-        max_num: int = 5,
+        max_num: int = 3,
         cube_name: str | None = None,
     ) -> list[TextualMemoryItem]:
         """

src/memos/memories/textual/tree_text_memory/retrieve/searcher.py

@@ -108,9 +108,10 @@ def _parse_task(self, query, info, mode, top_k=5):
             context = list({node["memory"] for node in related_nodes})
 
             # optional: supplement context with internet knowledge
-            if self.internet_retriever:
+            """if self.internet_retriever:
                 extra = self.internet_retriever.retrieve_from_internet(query=query, top_k=3)
                 context.extend(item.memory.partition("\nContent: ")[-1] for item in extra)
+            """
 
         # parse goal using LLM
         parsed_goal = self.task_goal_parser.parse(

src/memos/memories/textual/tree_text_memory/retrieve/utils.py

@@ -19,7 +19,9 @@
 Context (if any):
 \"\"\"$context\"\"\"
 
-Return strictly in this JSON format:
+Return strictly in this JSON format, note that the
+keys/tags/rephrased_instruction/memories should use the same language as the
+input query:
 {
   "keys": [...],
   "tags": [...],