Fast BM25 search in Python, powered by Numpy and Numba
Shared memory for AI coding tools: hybrid search, cited Q&A, harness memory discovery and a built-in Web console. Local index, MCP + HTTP.
Local-first Hermes memory provider on zvec-grep (hybrid BM25+vector RRF over Markdown vault)
Local-first RAG MCP server in Python: hybrid search (semantic + BM25 keyword boost) over your own documents. 11 MCP tools + CLI, markitdown ingestion for 12 formats, multilingual embeddings, LanceDB. Nothing leaves your machine.
一个开箱即用的完整智能客服服务:基于 FastAPI + LangChain RAG + CrewAI 多 Agent 构建, 提供意图识别路由、知识库问答、多智能体协作、SSE 流式对话等核心客服能力,并内置 检索工程(BM25+RRF+reranker)、稳定性工程(重试/限流/语义缓存)、可观测性(实时监控控制台) 与效果评估体系(RAGAS 评测闭环),可直接部署上线,也可作为独立 AI 服务被现有业务系统(如 Spring Cloud / Node.js 后端)通过 HTTP/SSE 集成调用。
本地私有化智能文档问答系统:BM25+向量混合检索、本地 Rerank 重排、完全离线、数据零外传(LangChain + Ollama + ChromaDB)
Local-first document requirements and evidence review workbench with traceable citations and human review.