RAG-a-thon Developer Resources
| Note: A big thanks to the companies below for making this hackathon possible. Explore the resources they offer, and if you have any questions, connect with them on our SLACK channel or email me at mark@futureproofsv.com |
ARIZE RESOURCES:
- Phoenix web portal- create an account here to access an online instance of Phoenix
- Phoenix documentation
- Open source libraries:
- Python Tracing & Evaluation - our main library, use this to trace, evaluate, and experiment on LLM Apps
- JS / TS Tracing - use this library to trace JS / TS apps
- Tracing, evaluation, and experimentation example notebooks - a set of examples that show Phoenix in action
TOOLHOUSE RESOURCES:
- https://join.toolhouse.ai
- https://discord.toolhouse.ai - Our Discord server
- https://docs.toolhouse.ai - Our documentation
GROQ RESOURCES:
- Increase your FREE credit limit with GROQ -- just register for the RAG-a-thon (on this site)
- How to Win Hackathons with GROQ
- Groq Quickstart Guide
- Groq Example Projects
- Groq GitHub Cookbook
- Groq Frontend Base Template
PERPLEXITY
Perplexity's Sonar API lets developers build apps with the best AI answer engine: a fast, affordable API offering with the features that millions of Perplexity users love, including real-time internet search and trusted citations.
Advanced Sonar offerings such as Sonar Reasoning, Sonar Reasoning Pro, and Sonar Deep Research let developers build custom research agents that support follow up questions and expose chain-of-thought.
FLY.IO
Deploy your hackathon project globally in minutes with Fly.io! Instantly launch, scale, and demo your agentic AI apps using secure, fast, and flexible cloud resources-perfect for rapid experimentation and live showcases.
- $50 coupon for all attendees: https://fly.io/hello/fly-with-us
- Documentation: https://fly.io/docs
Additional resources:
- COMING SOON!
Participants are welcome to use any open-source tool available.
Do you want to find other open-sourced models?
- Llama Stack GitHub Repository
Access the core components and API specifications of the Llama Stack.
GitHub - Llama Stack -
Hugging Face
- Go to https://huggingface.co/ and explore models and datasets available at the top-right and hack-away.
- Also, their chat-ui is available at https://github.com/huggingface/chat-ui , Check out for inspiration.
Other:
- Sign up using your email and go to https://platform.openai.com/account/api-keys
- Navigate to User -> API Keys, and Create a Secret key. Note: You can create multiple secret keys if necessary.