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readify_parent

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An AI-powered intelligent reading note assistant system, crafted to help users efficiently organize their knowledge and create intuitive mind maps with its robust artificial intelligence features. Readify can automatically analyze document content, offer users conversational Q&A sessions grounded in a knowledge base, generate well-structured notes.

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# Readify - AI-Powered Reading & Note Assistant

[中文](README_zh.md) | [日本語](README_ja.md)

![Vue.js](https://img.shields.io/badge/Vue.js-4FC08D?style=for-the-badge&logo=vue.js&logoColor=white)
  ![Java](https://img.shields.io/badge/Java-17-007396?style=for-the-badge&logo=java&logoColor=white)
  ![Python](https://img.shields.io/badge/Python-3.9-3776AB?style=for-the-badge&logo=python&logoColor=white)
  ![Spring Boot](https://img.shields.io/badge/Spring_Boot-3.2.2-6DB33F?style=for-the-badge&logo=spring-boot&logoColor=white)
  ![FastAPI](https://img.shields.io/badge/FastAPI-0.100.0+-009688?style=for-the-badge&logo=fastapi&logoColor=white)

<h3>AI-driven intelligent reading notes and mind map generation</h3>
</div>

## Overview

Readify is an AI-powered reading assistant that helps users organize knowledge and generate intuitive mind maps. It follows a microservices architecture with five core modules:

- **readify_frontend** — Vue 3 + TypeScript user-facing application
- **readify_server** — Spring Boot 3.2.2 backend (DDD architecture)
- **readify_agi** — FastAPI AI agent layer (multi-agent system)
- **readify_admin** — Vue 3 + TypeScript admin panel (RBAC)
- **readify_eval** — Evaluation platform (backend + frontend)

## Screenshots

<div align="center">
  <img src="img/1-首页.png" alt="Home" width="80%">
  <p><i>Home — Project management and document upload</i></p>

<img src="img/2-对话-1.png" alt="Chat 1" width="80%">
  <p><i>Chat — Thought process</i></p>

<img src="img/3-对话-2.png" alt="Chat 2" width="80%">
  <p><i>Chat — Final answer</i></p>

<img src="img/4-笔记.png" alt="Notes" width="80%">
  <p><i>Notes — Note management</i></p>

<img src="img/5-笔记生成.png" alt="Note generation" width="80%">
  <p><i>Note generation — Auto analysis</i></p>

<img src="img/6-笔记生成.png" alt="Note result" width="80%">
  <p><i>Note generation — Result</i></p>
</div>

## Features

- **Intelligent Q&A** — RAG-based document Q&A with vector search and LLM
- **Smart Note Generation** — Multi-level structured note generation
- **Mind Map Visualization** — Interactive knowledge graph via markmap.js
- **Multi-Agent Collaboration** — Coordinator, Ask, and Note agents
- **Multiple LLM Support** — OpenAI, Qwen, DeepSeek, and other OpenAI-compatible models
- **Multi-format Document Support** — PDF, TXT, DOCX via LlamaParse
- **Real-time Streaming** — Thought process streamed via WebSocket/SSE

## Architecture

```
readify_parent/
├── readify_frontend/    # Vue 3 frontend
├── readify_server/      # Spring Boot backend
├── readify_agi/         # FastAPI AI agent service
├── readify_admin/       # Vue 3 admin panel
├── readify_eval/        # Evaluation platform
└── infra/               # Infrastructure (Docker Compose)
```

### Service Communication

```
Frontend (5173) → Server (8080) → AGI (8081)
                      ↕                ↕
                  Nacos (8848) — Service discovery & config
                      ↓
                  MySQL — Shared business database
                  Milvus — Vector database
                  MinIO — Object storage
```

### Tech Stack

| Module | Stack |
|--------|-------|
| **Frontend** | Vue 3, TypeScript, Element Plus, Vite, markmap.js |
| **Server** | Java 17, Spring Boot 3.2.2, MyBatis-Plus, Spring Cloud |
| **AGI** | Python 3.9+, FastAPI, LangChain, OpenAI SDK |
| **Database** | MySQL 8.0+ (business data), Milvus (vector store) |
| **Storage** | MinIO |
| **Service Discovery** | Nacos 2.x |

## Quick Start

### Prerequisites

**Docker (recommended)**
- Docker >= 20.10
- Docker Compose >= 2.0

**Local development**
- Node.js 16+, JDK 17+, Python 3.9+, MySQL 8.0+

### 1. Start Infrastructure

```bash
docker compose -f infra/docker-compose.yml up -d
```

Starts: Nacos (8848), MySQL (3307), Milvus (19530), MinIO (9000/9001).

### 2. Initialize Database

```bash
mysql -h 127.0.0.1 -P 3307 -u root -proot -e "CREATE DATABASE IF NOT EXISTS readify DEFAULT CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci;"
mysql -h 127.0.0.1 -P 3307 -u root -proot readify < readify_server/src/main/resources/db/migration/db.sql

mysql -h 127.0.0.1 -P 3307 -u root -proot -e "CREATE DATABASE IF NOT EXISTS readify_eval DEFAULT CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci;"
mysql -h 127.0.0.1 -P 3307 -u root -proot readify_eval < readify_eval/sql/readify_eval_flow.sql
```

### 3. Configure AGI Service

```bash
cd readify_agi
cp .env.example .env
vim .env
```

Key variables:
```env
LLM_API_KEY=your_key
LLM_API_BASE=http://your-openai-compatible-endpoint/v1
LLM_MODEL_NAME=your_model
EMBEDDING_API_KEY=your_embedding_key
EMBEDDING_API_BASE=your_embedding_url
EMBEDDING_MODEL=your_embedding_model
LLAMA_PARSE_API_KEY=your_llamaparse_key   # or set PARSER_PROVIDER=local
NACOS_NAMESPACE=ca5b6af9-5336-42f7-b68c-515779f79a98
```

### 4. Configure Nacos

Add the following Data IDs to Nacos (namespace: same as `NACOS_NAMESPACE`, group: `READIFY`):

- `readify-server.yaml` — DB connection, JWT secret, MinIO endpoint
- `readify-agi.yaml` — DB, Milvus, MinIO, LLM, Embedding config
- `readify-eval.yaml` — Eval DB connection, CORS

> See the [Chinese README](README_zh.md#nacos-配置文件) for full Nacos config examples.

### 5. Start Application Services

```bash
# Build and start all application services
docker compose up -d --build

# View logs
docker compose logs -f
docker compose logs -f readify-server
```

### 6. Access

| Service | URL |
|---------|-----|
| Frontend | http://localhost:5173 |
| Admin Panel | http://localhost:5174 |
| Eval Platform | http://localhost:5175 |
| Server Swagger | http://localhost:8080/swagger-ui.html |
| AGI OpenAPI | http://localhost:8081/docs |
| Eval OpenAPI | http://localhost:8082/docs |
| Nacos Console | http://localhost:8848/nacos (nacos/nacos) |
| MinIO Console | http://localhost:9001 (minioadmin/minioadmin) |

## Development Commands

### Frontend
```bash
npm install && npm run dev      # port 5173
npm run build
```

### Backend
```bash
./mvnw spring-boot:run          # port 8080
./mvnw test
```

### AGI Service
```bash
pip install -r requirements.txt
python main.py                  # port 8081
pytest tests/
```

### Eval Backend
```bash
cd readify_eval/backend
pip install -r requirements.txt
alembic upgrade head
python run.py                   # port 8082
```

## Contributing

1. Fork the repository
2. Create a feature branch (`git checkout -b feature/amazing-feature`)
3. Commit your changes (`git commit -m 'Add some amazing feature'`)
4. Push to the branch (`git push origin feature/amazing-feature`)
5. Open a Pull Request

## License

[MIT License](LICENSE)

---

<div align="center">
  <p>Made with ❤️ by Readify</p>
</div>

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