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Welcome to the Wiki for our project, Signal. Our aim is to enhance developer workflows by integrating AI-driven insights and automations into Slack and Jira, utilizing a Python-based solution. This project leverages a Retrieval-Augmented Generation (RAG) pipeline with OpenAI agents to streamline communication and improve decision-making processes.
- Automate Communication: Equip an AI agent with tools to manage Slack and Jira communications, emphasizing urgent message prioritization.
- Streamline Workflows: Utilize advanced AI tools from OpenAI to enhance productivity and decision-making within developer workflows.
- Open Source Contribution: Develop and share an open-source solution that can benefit the wider developer community.
- LangChain: We're employing LangChain to build our RAG system, taking advantage of its integrations and techniques for effective LLM orchestration.
- OpenAI's ChatGPT: Partnering with OpenAI's ChatGPT to provide the generative component of our RAG pipeline, enabling sophisticated interaction and content generation.
- Python: The backbone of our development, leveraging its extensive libraries and frameworks to build our solution.
To contribute or get a deeper understanding of the project, please follow the steps outlined in our setup guide. Ensure you have the necessary prerequisites like GitHub Codespaces, Python, and VSCode, and follow the steps for cloning the repository, setting up the environment, and running the project.
We welcome contributions in the form of code, ideas, or feedback. To contribute, please ensure you adhere to our coding standards, submit pull requests for review, and provide meaningful updates or suggestions that align with our project's goals.
Join us in developing Signal, a tool designed to revolutionize developer workflows through the power of AI. Your expertise and contributions can help shape a future where technology further empowers creativity and efficiency.