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Refa: async retrieval process. (#12629)
### Type of change - [x] Refactoring - [x] Performance Improvement
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@ -36,12 +36,12 @@ class TreeStructuredQueryDecompositionRetrieval:
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self._kg_retrieve = kg_retrieve
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self._lock = asyncio.Lock()
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def _retrieve_information(self, search_query):
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async def _retrieve_information(self, search_query):
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"""Retrieve information from different sources"""
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# 1. Knowledge base retrieval
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kbinfos = []
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try:
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kbinfos = self._kb_retrieve(question=search_query) if self._kb_retrieve else {"chunks": [], "doc_aggs": []}
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kbinfos = await self._kb_retrieve(question=search_query) if self._kb_retrieve else {"chunks": [], "doc_aggs": []}
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except Exception as e:
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logging.error(f"Knowledge base retrieval error: {e}")
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@ -58,7 +58,7 @@ class TreeStructuredQueryDecompositionRetrieval:
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# 3. Knowledge graph retrieval (if configured)
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try:
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if self.prompt_config.get("use_kg") and self._kg_retrieve:
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ck = self._kg_retrieve(question=search_query)
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ck = await self._kg_retrieve(question=search_query)
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if ck["content_with_weight"]:
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kbinfos["chunks"].insert(0, ck)
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except Exception as e:
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@ -100,9 +100,9 @@ class TreeStructuredQueryDecompositionRetrieval:
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if callback:
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await callback(f"Searching by `{query}`...")
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st = timer()
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ret = self._retrieve_information(query)
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ret = await self._retrieve_information(query)
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if callback:
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await callback("Retrieval %d results by %.1fms"%(len(ret["chunks"]), (timer()-st)*1000))
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await callback("Retrieval %d results in %.1fms"%(len(ret["chunks"]), (timer()-st)*1000))
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await self._async_update_chunk_info(chunk_info, ret)
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ret = kb_prompt(ret, self.chat_mdl.max_length*0.5)
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@ -111,14 +111,14 @@ class TreeStructuredQueryDecompositionRetrieval:
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suff = await sufficiency_check(self.chat_mdl, question, ret)
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if suff["is_sufficient"]:
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if callback:
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await callback("Yes, it's sufficient.")
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await callback(f"Yes, the retrieved information is sufficient for '{question}'.")
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return ret
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#if callback:
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# await callback("The retrieved information is not sufficient. Planing next steps...")
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succ_question_info = await multi_queries_gen(self.chat_mdl, question, query, suff["missing_information"], ret)
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if callback:
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await callback("Next step is to search for the following questions:\n" + "\n - ".join(step["question"] for step in succ_question_info["questions"]))
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await callback("Next step is to search for the following questions:</br> - " + "</br> - ".join(step["question"] for step in succ_question_info["questions"]))
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steps = []
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for step in succ_question_info["questions"]:
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steps.append(asyncio.create_task(self._research(chunk_info, step["question"], step["query"], depth-1, callback)))
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