The Official Mivus node.js sdk(client)

Milvus management GUI

Milvus official website.

This project use VGG model to get image embeddings. Then Milvus is used to search the similarity images.

A RAG-driven image product search that showcases MERN, Milvus for vector indexing, Transformers, and a local Ollama Gemma LLM. Explore integrated embeddings, store vectors in Milvus, and manipulate queries with advanced language understanding.

This project uses Milvus and Bert to build a text search system.

This project combines the model provided by Bert and Milvus to realize a question and answer (QA) system.

A command-line tool that ingests documents and generates instant answers to your questions about those documents using ChatGPT, giving you the Sheldon Cooper you never had at your fingertips.

Converting chemical formulae to fingerprints and then compared for similarity in Milvus.

AI-powered healthcare provider validation system using multi-agent architecture with LangGraph, Mistral AI, and vector embeddings for automated NPI verification and trust scoring

A backend utility service built with NestJS, featuring a 3-layer architecture for API management, worker processes, blockchain interactions, AI capabilities, and game services. Utilizes TypeScript, PostgreSQL, Redis, and Docker for scalability.

A ChatGPT-powered QA system using OpenAI, LangChain, FastAPI, and a vector database. It retrieves answers based on stored data, enhancing responses with relevant source links. The project enables efficient knowledge retrieval, making it ideal for AI-driven chat applications that require accurate and reference-backed responses.

The frontend of shotit, with full documentation.

This system contains the API server, neural models, and UI client, a neural search engine for the COVID-19 Open Research Dataset (CORD-19) , and is referred to covidex.

Enhanced fork of claude-context with stability fixes, improved sync, and better reliability for semantic code search

Production-grade RAG microservice with custom vector search, real-time streaming, and enterprise security. Built with NestJS, OpenAI, Milvus, and Kafka.

🧑‍⚕️ Ai智能医生聊天助手-这是一个前端基于Vue3、TS、后端基于Nest.js、MongoDB、Redis、Milvus并结合大模型、RAG等技术实现的医疗库智能问答系统，能结合大模型的生成能力和上传的专业医疗领域知识库针对提问给出专业回答。同时具备工具调用能力，可使用MCP集成网页爬取能力让大模型根据网址对应的医疗领域文章进行分析和输出。

A microservices architecture comprising a Python gRPC/REST API for managing embeddings in a Milvus vector database and a full-stack Next.js app with MySQL for user and file management, including OAuth and a chat interface.

Learnability Backend API

Vector Database Manager for VSCode/Cursor