Open Assistant

Y'ORG AI provides a local implementation of OpenAI's assistant.

Introduction

OpenAI's Assistant API is awesome: channeling the power of Code interpreter and Retrieval and thereby helping developers build powerful AI assistants capable of performing various tasks. However, it executes codes within an online sandbox and requires us to upload our files to OpenAI's platform -- which does not sound that awesome...

Y'ORG AI thus introduces the Open Assistant, which allows you to run your codes locally, retrieve knowledge from local files (without sendding them to OpenAI), and access more developer-friendly tools!

Key Advantages

Our platform is designed with the developer and data analyst in mind, offering unparalleled advantages:

• Fortified Data Privacy: Your sensitive information never leaves your own secure servers.
• Boundless Document Handling: Wave goodbye to restrictions on file size or quantity.
• Cost Efficiency: Eliminate session and retrieval costs associated with cloud-based services.
• Local LLM Flexibility: Opt for the Large Language Model of your choice and maintain all operations in-house.

Tools and pre-built assistants

Y'ORG provide additional tools for developers:

• Understand codebases.
• Draft development specification.
• Introduce new features into existing projects.

And for data analyst:

• Conduct data analysis.
• Create reports for diverse audiences.

We also provide pre-built assistants for our users:

SDE assistant: Transform feature requests into executable code and documentation by harnessing the collective intelligence of your entire code repository—no IDE required.

Data assistant: Analyze datasets, distill insights, and convert them into comprehensive reports for varied stakeholders.

Roadmap

TBD (Your thoughts and suggestions are highly welcomed! Create an issue or email [email protected])

Installation

Add your API keys

• Add your API keys here:

backend/.env

Installation by Docker

Make sure you have Docker running and Run Command in terminal

• Build frontend and backend at the same time

docker-compose up --build

• Build frontend only

docker-compose up --build frontend

• Build backend only

docker-compose up --build backend

If you see: exec ./entrypoint.sh: no such file or directory, try

• delete the line entrypoint: ./entrypoint.sh in docker-compose.yml
• add CMD ["/bin/sh", "/app/entrypoint.sh"] to the end of file /backend/Dockerfile
• rerun docker-compose up --build

If you see: /app/entrypoint.sh: 3: set: Illegal option -, try in console

• cd backend
• sed -i 's/\r$//' entrypoint.sh
• rerun docker-compose up --build

Usage

Go to http://localhost:8888/ and you will see a Jupyter Notebook.

• Create a new notebook with YKernel
• Wait until Ykernel is ready
• Click + next to the keyboard button to create a new cell to start
  • Software Engineer
  • OpenAI Chat
  • File Upload
  • Data Analysis
  • Python Code

Contact

If you have any questions / feedback / comment, do not hesitate to contact us.

Email: [email protected]

GitHub Issues: For more technical inquiries, you can also create a new issue in our GitHub repository.