kb-agent-platform
Enables MCP hosts like Cursor or Claude to query an enterprise knowledge base via stdio, providing RAG-based answers with cited sources.
README
KB-Agent-Platform —— 企业知识库问答平台（RAG + Multi-Agent + MCP）
一句话：基于 RAG 与 LangGraph Supervisor 的企业知识库 Agent， SSE 流式问答带引用溯源，MCP 双入口，docker compose 一键部署。
架构
前端 Vue3 ──SSE──> FastAPI ──> Supervisor(LLM 路由) ──┬─> KB Agent ──> Qdrant(4096维)
└─> Chat Agent
MCP Host(Cursor/Claude) ──stdio──> MCP Server ──> 同一个 Qdrant
快速开始
- git clone https://github.com/embracingTheFuture/kb-agent-platform.git && cd kb-agent-platform
- cp .env.example .env # 填入你的 key
- docker compose up --build -d
- docker compose run --rm api python task2_pipeline.py # 入库
- 打开 http://localhost:8000/docs
效果截图
质量：评估集回归
6 条用例覆盖路由正确性 + 引用完整性，容器内可复现。
| 编号 | 前15个字 | 预期 | 实际 | 是否通过测试 |
|---|---|---|---|---|
| 编号：1 | 前15个字：阶段二的时间安排和主项目定位。 | 预期：KB | 实际：KB | PASS |
| 编号：2 | 前15个字：路线图里 Day16 要干什么 | 预期：KB | 实际：KB | PASS |
| 编号：3 | 前15个字：用一句话介绍一下你自己。 | 预期：CHAT | 实际：CHAT | PASS |
| 编号：4 | 前15个字：帮我写一句关于秋天的诗。 | 预期：CHAT | 实际：CHAT | PASS |
| 编号：5 | 前15个字：2024年奥运会中国队拿了多少 | 预期：CHAT | 实际：CHAT | PASS |
| 编号：6 | 前15个字： | 预期：CHAT | 实际：CHAT | PASS |
| 6 条用例，6 通过，0 失败 |
技术要点
- 手写 ReAct 内核（工具注册表 + while 循环，不用框架）
- 自研切分-向量化-检索管线，Qdrant 余弦相似度
- 引用溯源：编号上下文 + [i] 标注 + citations 结构
- Supervisor 多智能体路由 + 会话记忆压缩（滚动摘要）
- MCP Server 双入口 / SSE 流式 / 评估集回归
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