You are invited to participate in the RAG ‘n’ ROLL Amp up Search with Snowflake & Mistral hackathon!
This hackathon is an opportunity to riff with cutting-edge AI technology. Join us and get comfortable with a setlist for learning AI with Cortex Search for retrieval, Mistral LLM (mistral-large2) on Snowflake Cortex for generation, and Streamlit Community Cloud for the front end.
Register for the Hackathon!
You have the chance to build innovative Retrieval Augmented Generation applications that can revolutionize how we interact with information. Join us to push the boundaries of what's possible with AI and make a lasting impact!
Why Join
- Fine-tune your skills while building a Retrieval Augmented Generation (RAG) application
- Make connections and showcase your development skills within the AI developer community
- Compete for $10,000 in prizes

Get Started
- Register for the hackathon
- Set up your Snowflake account
- Get familiar with the resources
- Start Brainstorming
- Join an upcoming Office hour! Check out the recordings of the 4 workshops hosted for this hackathon and see the schedule for the next office hour on January 8th.
Requirements
What to Build
Build a new Retrieval Augmented Generation application using:
- Cortex Search for retrieval
- Mistral LLM (mistral-large2) on Snowflake Cortex for generation
- Streamlit Community Cloud for front end
Bonus Prize. Use TruLens (Snowflake open source) to measure and optimize the project search performance. Just be sure to highlight your comparison, experiments, and metrics within your submission video.
What to Submit
Provide a URL to the fully functioning web app on Streamlit Community Cloud.
Provide a public URL to your code repository for judging.
Include a video (about 3 minutes) that explains and demonstrates your project in action. Videos must be uploaded to YouTube, Vimeo, or Facebook Video and made public.
**If submitting for TruLens, you are allowed an additional 1 minute to include the required comparison between two or more experiments and explain what metric(s) the team was trying to optimize and why.
Prizes
Grand Prize
• $5,000 USD
• Featured in social post
• Featured in monthly Data Cloud Dispatch (Snowflake newsletter)
• Swag
Second Place
• $2,500 USD
• Featured in social post
• Featured in monthly Data Cloud Dispatch (Snowflake newsletter)
• Swag
Third Place
• $1,500 USD
• Featured in social post
• Featured in monthly Data Cloud Dispatch (Snowflake newsletter)
• Swag
TruLens Bonus Prize Place
• $1,000 USD
• Featured in social post
• Featured in monthly Data Cloud Dispatch (Snowflake newsletter)
• Swag
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Yuichiro Tachibana
ML Developer Advocate | Hugging Face
Divyansh Saini
CEO | Houseware
Joyce Kay Avila
Data & AI Advisor
Tony Kipemboi
Senior Developer Advocate | crewAI
Yujian Tang
Developer Advocate, AI Hacker
Michael Galarnyk
Data Science Professional
Sail Wang
Research Scientist | Scale AI
Uchenna Mgbaja
Machine Learning Instructor | NorQuest College
John Mitchell
Professor of Computer Science | Stanford University
Nikolaos Vasiloglou
Vice President of Research ML | RelationalAI
Oleksandr Arsentiev
Marketing Data Operations Manager | Okta
Yashas Vaidya
Data Scientist | Dataiku
Colin Qian
Disney Streaming | Software Engineering Manager
Judging Criteria
-
Technological Implementation
Does the project demonstrate quality software development? Does the project leverage the Cortex Search and Mistral LLM? How is the quality of the code? Is the quality of search results tested? How effective is the search? -
Design
Is the user experience and design of the project well thought out? How well is the document ingestion and search thought through? How thoughtful is the usage of the LLM? -
Potential Impact
How big of an impact could the project have? -
Quality of the Idea
How creative and unique is the project? Does the concept exist already? If so, how much does the project improve on it?
Questions? Email the hackathon manager
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