AI 办公助手

AI 不是取代你，而是让你把时间花在更有价值的事情上。

AI 办公助手架构

企业知识库

"""
企业知识库 (RAG 概念演示)
"""
from dataclasses import dataclass, field
@dataclass
class KnowledgeBase:
"""企业知识库"""
documents: list[dict] = field(default_factory=list)
def add_document(
self, title: str, content: str, category: str
):
self.documents.append({
"title": title,
"content": content,
"category": category,
})
def search(self, query: str, top_k: int = 3) -> list[dict]:
"""简单关键词搜索 (生产环境用向量检索)"""
scored = []
query_words = set(query.lower().split())
for doc in self.documents:
text = (doc["title"] + doc["content"]).lower()
score = sum(1 for w in query_words if w in text)
if score > 0:
scored.append({"doc": doc, "score": score})
scored.sort(key=lambda x: x["score"], reverse=True)
return [s["doc"] for s in scored[:top_k]]
def generate_answer(
self, query: str, context: list[dict]
) -> str:
"""基于检索结果生成回答 (模拟 LLM)"""
if not context:
return "抱歉，知识库中未找到相关信息。"
sources = [doc["title"] for doc in context]
return (
f"根据知识库检索，关于「{query}」：\n"
f"参考来源: {', '.join(sources)}\n"
f"(实际场景中这里由 LLM 生成自然语言回答)"
)
# 演示
kb = KnowledgeBase()
kb.add_document("请假制度", "年假15天，病假需医院证明", "HR")
kb.add_document("报销流程", "填写报销单→部门审批→财务审核", "财务")
kb.add_document("VPN 连接", "下载客户端→输入账号密码→选择节点", "IT")
kb.add_document("会议室预约", "使用 Outlook 日历预约，提前1天", "行政")
query = "怎么请假"
results = kb.search(query)
answer = kb.generate_answer(query, results)
print(f"问题: {query}")
print(f"回答: {answer}")

会议纪要自动化

"""
智能会议纪要
"""
from dataclasses import dataclass
@dataclass
class MeetingMinutes:
"""会议纪要生成"""
@staticmethod
def generate(
title: str,
attendees: list[str],
transcript_segments: list[dict],
) -> dict:
"""从对话记录生成纪要"""
# 提取行动项 (简单规则)
action_items = []
decisions = []
for seg in transcript_segments:
text = seg["text"]
if any(kw in text for kw in ["负责", "跟进", "完成"]):
action_items.append({
"任务": text,
"负责人": seg["speaker"],
})
if any(
kw in text for kw in ["决定", "同意", "确认"]
):
decisions.append(text)
return {
"会议主题": title,
"参会人": attendees,
"讨论要点": [s["text"] for s in transcript_segments[:3]],
"决议事项": decisions or ["无明确决议"],
"行动项": action_items or [{"任务": "无", "负责人": "-"}],
}
# 演示
minutes = MeetingMinutes.generate(
title="Q2 产品规划会",
attendees=["张总", "李产品", "王研发", "赵设计"],
transcript_segments=[
{"speaker": "张总", "text": "Q2 重点是移动端改版"},
{"speaker": "李产品", "text": "决定先做搜索功能优化"},
{"speaker": "王研发", "text": "我负责后端 API 重构，2周完成"},
{"speaker": "赵设计", "text": "跟进新版设计稿，下周一出"},
],
)
print("=== 会议纪要 ===")
for k, v in minutes.items():
if isinstance(v, list) and v and isinstance(v[0], dict):
print(f"  {k}:")
for item in v:
print(f"    - {item}")
else:
print(f"  {k}: {v}")

AI 邮件助手

"""
AI 邮件分类与回复
"""
EMAIL_TEMPLATES = {
"客户咨询": {
"分类标准": "包含产品询问、报价、功能",
"自动回复": "感谢咨询，已转交销售团队，24小时内回复",
"动作": "转发给对应销售 + CRM 记录",
},
"合作邀约": {
"分类标准": "包含合作、代理商、渠道",
"自动回复": "感谢关注，已收到合作意向，商务部将联系",
"动作": "转给 BD 部门",
},
"投诉": {
"分类标准": "包含不满意、退款、问题、投诉",
"自动回复": "非常抱歉给您带来不便，客服已加急处理",
"动作": "创建紧急工单 + 通知主管",
},
"内部通知": {
"分类标准": "内部邮箱发送",
"自动回复": "无需自动回复",
"动作": "按部门归档",
},
}
print("=== 邮件智能处理 ===")
for category, config in EMAIL_TEMPLATES.items():
print(f"\n{category}:")
for k, v in config.items():
print(f"  {k}: {v}")

AI 办公工具生态

下一章：数据分析自动化——让报表自己生成。