Fix: no doc hits after meta data filter. (#9435)

### What problem does this PR solve?


### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

api/db/services/dialog_service.py

@@ -365,8 +365,12 @@ def chat(dialog, messages, stream=True, **kwargs):
         if dialog.meta_data_filter.get("method") == "auto":
             filters = gen_meta_filter(chat_mdl, metas, questions[-1])
             attachments.extend(meta_filter(metas, filters))
+            if not attachments:
+                attachments = None
         elif dialog.meta_data_filter.get("method") == "manual":
             attachments.extend(meta_filter(metas, dialog.meta_data_filter["manual"]))
+            if not attachments:
+                attachments = None
 
     if prompt_config.get("keyword", False):
         questions[-1] += keyword_extraction(chat_mdl, questions[-1])
@@ -375,17 +379,16 @@ def chat(dialog, messages, stream=True, **kwargs):
 
     thought = ""
     kbinfos = {"total": 0, "chunks": [], "doc_aggs": []}
-
-    if "knowledge" not in [p["key"] for p in prompt_config["parameters"]]:
     knowledges = []
-    else:
+
+    if attachments is not None and "knowledge" in [p["key"] for p in prompt_config["parameters"]]:
         tenant_ids = list(set([kb.tenant_id for kb in kbs]))
         knowledges = []
         if prompt_config.get("reasoning", False):
             reasoner = DeepResearcher(
                 chat_mdl,
                 prompt_config,
-                partial(retriever.retrieval, embd_mdl=embd_mdl, tenant_ids=tenant_ids, kb_ids=dialog.kb_ids, page=1, page_size=dialog.top_n, similarity_threshold=0.2, vector_similarity_weight=0.3),
+                partial(retriever.retrieval, embd_mdl=embd_mdl, tenant_ids=tenant_ids, kb_ids=dialog.kb_ids, page=1, page_size=dialog.top_n, similarity_threshold=0.2, vector_similarity_weight=0.3, doc_ids=attachments),
             )
 
             for think in reasoner.thinking(kbinfos, " ".join(questions)):

rag/prompts/citation_prompt.md

@@ -106,3 +106,4 @@ REMEMBER:
 - Each citation supports the ENTIRE sentence
 - When in doubt, ask: "Would a fact-checker need to verify this?"
 - Place citations at sentence end, before punctuation
+- Format likes this is FORBIDDEN: [ID:0, ID:5, ID:...]. It MUST be seperated like, [ID:0][ID:5]...

rag/utils/s3_conn.py

@@ -191,7 +191,6 @@ class RAGFlowS3:
                 time.sleep(1)
         return
 
-    @use_prefix_path
     @use_default_bucket
     def rm_bucket(self, bucket, *args, **kwargs):
         for conn in self.conn: