Advanced RAG Pipelines and Evaluation

LangChain4j is an open-source Java library that simplifies the integration of LLMs into Java applications through a unified API, providing access to popular LLMs and vector databases. It makes implementing RAG, tool calling (including support for MCP), and agents easy. LangChain4j integrates seamlessly with various enterprise Java frameworks.

This repository is for Milvus technical documentation update and maintenance. Visit Milvus.io for fully rendered technical documents.

Lightweight, single-file vector database for experiments and small projects.

This project uses Python, Hugging Face (sentence-transformers), Milvus + Docker (container running Vector DB) to create a vector database, populate it with details of many people (names, ages, salaries, addresses and their introductions) and enable searching and querying on the database contents using Cosine-Similarity distances on IVF Flat index.

开源向量数据库部署教程

Model Context Protocol Servers for Milvus

基于LangGraph构建的智能体系统，通过FastAPI暴露OpenAPI接口，实现智能体编排功能。

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

Python SDK for Milvus Vector Database

持续更新 Memory Agent Hub：LLM+RAG+KG技术融合实践 | 覆盖RAG分割/向量检索/KG构建，含GraphRAG(Milvus+Neo4j)、ES检索、实体识别，附完整知识库与自进化记忆Agent方案

AI Playgrounds, a repository created to explore, experiment, and prototype Proof of Concepts (POCs) around AI tools and technologies using Python.

OpenAI Assistants API:enables intelligent question-answering over custom document corpora, PDFs, text manuals, engineering files, simulating how field operators can query technical data in real time. Designed with scalable microservices principles, the system can be containerized with Docker.

🔍大模型应用开发实战一：RAG技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/

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

This repository provides the full Data Engineering backbone of a finance-domain RAG solution, ensuring that data entering the GenAI pipeline is clean, structured, observable, and production-ready.

Low-level abstraction for storing and retrieving documents in a vector store.

Milvus official website.

Extensão do Chrome que conecta o WhatsApp Web ao service desk Milvus, permitindo abrir, acompanhar e finalizar chamados sem sair da conversa.

The frontend of shotit, with full documentation.