RAG Assistant - local knowledge base agent with multi-KB routing
Project description
RAG Assistant
本地知识库智能体系统。基于 ChromaDB + 本地 LLM 的多知识库 RAG 查询引擎。
特性
- 多知识库路由 — 文档入库/出库均使用嵌入模型做语义路由
- 穷举组合检索 — LLM 将问题分解为 entities × attrs 元组,多路独立检索
- 自修正循环 — LLM 输出格式/动作校验失败时自动反馈重试
- Web 界面 — 配置管理 + 对话窗口,双 Tab 切换
- CLI 模式 —
--batch/--jsonl管道模式 - 完全本地 — 所有数据在本地,不需要任何外部 API
快速开始
pip install rag-assistant-ldxs
python main.py --port 8765
依赖
- Python ≥ 3.9
- ChromaDB(向量存储)
- LM Studio 或 Ollama(LLM 后端)
- 嵌入模型(BGE / BCE / E5 系列)
协议
Apache 2.0
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