构建高效主数据中心与大模型知识库的技术实践

# 定义主数据中心类

class MainDataCenter:

def __init__(self):

self.data = {}

def add_data(self, key, value):

self.data[key] = value

def get_data(self, key):

return self.data.get(key, None)

# 初始化主数据中心

main_dc = MainDataCenter()

main_dc.add_data('user1', {'name': 'Alice', 'age': 25})

print(main_dc.get_data('user1'))

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# 定义大模型知识库类

class LargeModelKnowledgeBase:

def __init__(self):

self.knowledge = {}

def add_knowledge(self, key, value):

self.knowledge[key] = value

def query_knowledge(self, key):

return self.knowledge.get(key, "Not Found")

# 初始化大模型知识库

lm_kb = LargeModelKnowledgeBase()

lm_kb.add_knowledge('Q1', 'What is the capital of France?')

lm_kb.add_knowledge('A1', 'Paris')

print(lm_kb.query_knowledge('A1'))

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