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. 

Hackathon Sponsors

Prizes

$10,000 in prizes
Grand Prize
1 winner

• $5,000 USD
• Featured in social post
• Featured in monthly Data Cloud Dispatch (Snowflake newsletter)
• Swag

Second Place
1 winner

• $2,500 USD
• Featured in social post
• Featured in monthly Data Cloud Dispatch (Snowflake newsletter)
• Swag

Third Place
1 winner

• $1,500 USD
• Featured in social post
• Featured in monthly Data Cloud Dispatch (Snowflake newsletter)
• Swag

TruLens Bonus Prize Place
1 winner

• $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

Yuichiro Tachibana
ML Developer Advocate | Hugging Face

Divyansh Saini

Divyansh Saini
CEO | Houseware

Joyce Kay Avila

Joyce Kay Avila
Data & AI Advisor

Tony Kipemboi

Tony Kipemboi
Senior Developer Advocate | crewAI

Yujian Tang

Yujian Tang
Developer Advocate, AI Hacker

Michael Galarnyk

Michael Galarnyk
Data Science Professional

Sail Wang

Sail Wang
Research Scientist | Scale AI

Uchenna Mgbaja

Uchenna Mgbaja
Machine Learning Instructor | NorQuest College

John Mitchell

John Mitchell
Professor of Computer Science | Stanford University

Nikolaos Vasiloglou

Nikolaos Vasiloglou
Vice President of Research ML | RelationalAI

Oleksandr Arsentiev

Oleksandr Arsentiev
Marketing Data Operations Manager | Okta

Yashas Vaidya

Yashas Vaidya
Data Scientist | Dataiku

Colin Qian

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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Hackathon sponsors

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