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RAGFlow workspace code commit ID
RAGFlow image version
v0.17.2 full
Other environment information
Ubuntu24
Actual behavior
When I use the assistant and select a knowledge base for question and answer, the output can be normal at the beginning, but it will not be completed and an error will be reported halfway through the output.
Expected behavior
No response
Steps to reproduce
Knowledge base questions and answers will definitely reappear
Additional information
2025-03-20 14:28:55,261 ERROR 17 LLMBundle.encode_queries can't update token usage for 4b969d6ef11b11ef996c0242ac130007/EMBEDDING used_tokens: 20
Traceback (most recent call last):
File "/ragflow/api/apps/conversation_app.py", line 232, in stream
for ans in chat(dia, msg, True, **req):
File "/ragflow/api/db/services/dialog_service.py", line 196, in chat
for think in reasoner.thinking(kbinfos, " ".join(questions)):
File "/ragflow/agentic_reasoning/deep_research.py", line 205, in thinking
kbinfos = self._retrieve_information(search_query)
File "/ragflow/agentic_reasoning/deep_research.py", line 98, in _retrieve_information
kbinfos = self._kb_retrieve(question=search_query) if self._kb_retrieve else {"chunks": [], "doc_aggs": []}
File "<@beartype(rag.nlp.search.Dealer.retrieval) at 0x7977e5fbaef0>", line 35, in retrieval
File "/ragflow/rag/nlp/search.py", line 371, in retrieval
sim, tsim, vsim = self.rerank(
File "<@beartype(rag.nlp.search.Dealer.rerank) at 0x7977e5fbad40>", line 35, in rerank
File "/ragflow/rag/nlp/search.py", line 301, in rerank
rank_fea = self._rank_feature_scores(rank_feature, sres)
File "/ragflow/rag/nlp/search.py", line 261, in _rank_feature_scores
for t, sc in eval(search_res.field[i].get(TAG_FLD, "{}")).items():
File "<string>", line 0
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