mirror of
https://github.com/RYDE-WORK/Langchain-Chatchat.git
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dea468ab0f
* 支持了agentlm * 支持了agentlm和相关提示词 * 修改了Agent的一些功能，加入了Embed方面的一个优化 * 修改了部分Agent的工具 * 增加一些Langchain的自带工具 * 修复一些兼容性的bug * 恢复知识库 * 恢复知识库 * 1 * 修复Azure问题 * 修复zilliz的问题 * 修复Agent历史记录问题，优化知识库问答搜索的uoji * 修复讯飞大模型token问题 * 修复讯飞大模型token问题和配置文件 --------- Co-authored-by: zR <zRzRzRzRzRzRzR>
32 lines
1.3 KiB
Python
32 lines
1.3 KiB
Python
from server.chat.knowledge_base_chat import knowledge_base_chat
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from configs import VECTOR_SEARCH_TOP_K, SCORE_THRESHOLD, MAX_TOKENS
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import json
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import asyncio
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from server.agent import model_container
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async def search_knowledge_base_iter(database: str, query: str) -> str:
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response = await knowledge_base_chat(query=query,
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knowledge_base_name=database,
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model_name=model_container.MODEL.model_name,
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temperature=0.01,
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history=[],
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top_k=VECTOR_SEARCH_TOP_K,
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max_tokens=MAX_TOKENS,
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prompt_name="knowledge_base_chat",
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score_threshold=SCORE_THRESHOLD,
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stream=False)
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contents = ""
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async for data in response.body_iterator: # 这里的data是一个json字符串
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data = json.loads(data)
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contents = data["answer"]
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docs = data["docs"]
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return contents
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def knowledge_search_simple(query: str):
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return asyncio.run(search_knowledge_base_iter(query))
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if __name__ == "__main__":
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result = knowledge_search_simple("大数据男女比例")
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print("答案:",result) |