⚠️ Important Note

We have discontinued official support for this repository. See Project Updates

Othor AI - 🌅 Make Great Decisions Every Day

Othor AI is a decision intelligence agent that processes your data in real time, delivering the right insights at the right moment to drive your success. Welcome to the future of Business Intelligence.

Othor utilizes large language models (LLMs) to deliver custom business intelligence solutions in seconds. Visit https://othor.ai/ to know more and book a demo.

Othor is built to be Fast, Simple & Secure.

1. Fast & Modern- Built with FastAPI for lightning-speed insights and real-time data updates.
2. Simple & Intuitive - Engineered with React for an intuitive, seamless, and simple user experience.
3. Secure & Reliable - Designed with care, ensuring robust security for your data and insights.

Features

• 🤖 AI-Powered Analytics: Get instant insights from your data using advanced language models
• 💬 Chat with Data: Natural language interactions with your business data
• 📊 Smart Charts: Auto-generated and updated visualizations
• 📝 Business Narratives: AI-generated executive summaries and reports
• 🔐 Enterprise Security: Role-based access control and secure data handling

Built with

• Python
• FastAPI
• React
• NextJS
• Tailwind CSS
• Shadcn/ui

Code guidance by

• Anthropic Claude

Video

othor-ai-intro-video.mp4

Screenshots

Contact us

Meet our team for any commercial inquiries - https://cal.com/othor

Project-Updates

The first version of Othor, codenamed RuneWeaver, was officially launched on December 19, 2024. We continued to improve and support the open-source version until January 2024. However, we made the difficult decision to discontinue the open-source project. Additionally, we recognized that addressing issues raised by the open-source community was becoming a distraction from our core vision of building the fastest BI solution available.

After redirecting our time and resources away from supporting and promoting the open-source project, we focused all our efforts on realizing our vision for Othor AI as the fastest BI solution. The results have been truly impressive. We invite you to check out what we've accomplished at https://othor.ai, where you can explore the new features we've developed and even try a free demo.

Repository Structure

.
├── README.md
├── CONTRIBUTING.md
├── LICENSE
├── docker-compose.yml
├── .env                           #root .env file
├── services/
│   ├── backend-organizations/     # Organization management service
│   ├── backend-metrics/          # Metrics dashboard service
│   ├── backend-metric-discovery/ # Metric discovery service
│   ├── backend-auth/            # Authentication service
│   ├── backend-narrative/       # Narrative generation service
│   ├── backend-chatbot/        # Data chat interface service
│   └── othor-frontend/         # Next.js frontend application
├── docs/
│   ├── architecture/
│   │   ├── overview.md
│   │   ├── data-flow.md
│   │   └── security.md
│   ├── deployment/
│   │   ├── local-setup.md
│   │   └── production.md
│   └── development/
│       ├── contributing.md
│       └── coding-standards.md
├── scripts/
│   ├── setup.sh
│   ├── dev.sh
│   └── deploy.sh
└── .github/
    ├── ISSUE_TEMPLATE/
    └── workflows/
        ├── ci.yml
        ├── release.yml
        └── deploy.yml

Architecture

The platform consists of several microservices:

• backend-organizations: Manages organization data and user access
• backend-metrics: Handles metrics dashboard and data visualization
• backend-metric-discovery: Automatic metric detection and analysis
• backend-auth: Authentication and authorization service
• backend-narrative: AI-powered narrative generation
• backend-chatbot: Natural language data interaction
• othor-frontend: React/Next.js web application

Quick Start for Developers

Here is a recorded installation tutorial that explains the steps below - https://youtu.be/8NdjGs_Lwfw

1. Clone the git repository

   git clone --recursive https://github.com/othorai/othor.ai

2. Move to directory

   cd othor.ai/

3. Set up environment variables:

   cp .env.example .env

   Edit .env with your configurations

4. Start services: Lets first create database image locally

   docker-compose build

   docker-compose up

   You can access the app at 'http://localhost:3000' and login using id - [email protected], password - admin123

   You can check the logs using command below

   docker-compose logs -f {microservice_name} #narrative,metrics,metric-discovery,chatbot,organization and auth

5. Stop services: To delete database volumes and start fresh

   docker-compose down -v

   To just stop services

   docker-compose down

Product Demo

After installing the product successfully, watch the following video to learn how to connect to different datasources.

https://www.youtube.com/watch?v=TX_dUeZQK5g

Team behind Othor 1.0(RuneWeaver) release

NairKoroth	nekender	ritttwaj

License

MIT License