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TiDB Future App Hackathon 2024

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TiDB Future App Hackathon 2024

Join the TiDB Future App Hackathon 2024 to unleash your creativity and build ground-breaking AI applications. Connect with like-minded developers (a maximum of four members per team), experience the latest TiDB Serverless with Vector Search features, and compete for a share of more than $30,000 in prizes!

In this Hackathon, you will have the opportunity to streamline your AI application development process by leveraging the advantages of TiDB Serverless with Vector Search whether you're interested in image processing, multimodal search, Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), etc.

With TiDB Serverless, a fully-managed, MySQL-compatible, database service with built-in Vector Search on AWS,  you are well equipped to create scalable, resilient, and high-performing AI applications that will stand out.

Don't miss out! Register for the TiDB Future App Hackathon 2024 today and let's connect, build, and win together!

REQUIREMENTS

WHAT TO CREATE

An innovative AI application using the new Vector Search feature in TiDB Serverless. With TiDB Serverless, the possibilities are endless. To help you kickstart AI your project, we've identified a few categories you might consider.

 

Remember, these are just a few ideas to spark your imagination – the sky's the limit!

 

Category Description
Natural Language Processing (NLP) Applications that automatically process a large amount of data (e.g., email, chats, news, audio, video, etc.) to analyze the intent or sentiment in the message, and respond in real time to human communication.
Recommendation System Applications that use data to help predict, narrow down, or predict what users are looking for.
Retrieval-Augmented Generation (RAG) Applications that can improve the output of Large Language Models (LLMs) by ​​cross-referencing external/authoritative knowledge sources.
Similarity Search A technique that finds similar content or data according to their vector representations.
Text-To-SQL/Text-To-Chart Techniques and tools that convert natural language queries into SQL queries or chart specifications, enabling users to interact with TiDB and visualize data through conversational interfaces.

WHAT TO SUBMIT

 

  • TiDB Cloud account email
  • Demo Video:
    • Articulate the problem your application solves and emphasize its value to users, while highlighting its innovative and distinctive features.
    • [Essential] Showcase the types of data your application stores in TiDB and highlight the benefits of using TiDB Serverless with Vector Search, such as scalability, query response times, cost-effectiveness, semantic search, and processing both traditional and AI workloads.
    • Keep the video concise (less than 4 min), and publicly accessible on YouTube. If your video is longer than 4 minutes, it will negatively impact your score.
  • Access to Your Working Application: Provide necessary details for judges to access your application, whether it's a test account or a website. Make sure the instructions are clear and straightforward. (New Project Only)
  • GitHub Link: Include a link to your application's code on GitHub. Your repository can be public or private. If it's private, please provide access in your testing instructions. Remember to include all necessary deployment files, documentation, and testing instructions to facilitate the testing of your application. In your documentation, we recommend including the software bill of materials or an architectural diagram that list all your software components (incl. Large Language Models (LLMs) used).

PRIZES

$30,500 in prizes

 1st Place

$12,000 in USD plus swag bags.

 2nd Place

$ 7,000 in USD plus swag bags.

 3rd Place

$3,500 in USD plus swag bags.

 4th Place

$2,500 in USD plus swag bags.

 5th Place

$1,500 in USD plus swag bags.

 Social Good Award

$2,000 in USD plus swag bags.
All eligible submissions that address social needs.

 Best Open Source Award

$2,000 in USD plus swag bags.
All eligible submissions that are built with open source software.

JUDGES

Akshata Raghunatha

Akshata Raghunatha
Partner Solutions Architect, AWS

Bosn Ma

Bosn Ma
Senior Manager, PingCAP

Chenhe Gu

Chenhe Gu
Head of Developer Relations, Dify.AI

Ed Huang

Ed Huang
Co-Founder & CTO, PingCAP

Laurie Voss

Laurie Voss
VP of Developer Relations, LlamaIndex

Sunny Bains

Sunny Bains
Software Developer, PingCAP - Former lead of MySQL InnoDB

Susana Guzman

Susana Guzman
Senior Product Manager, Jina AI

Xin Shi

Xin Shi
Principal Product Manager - TiDB Serverless and AI, PingCAP

Zhe Zhang

Zhe Zhang
Head of Open Source Engineering, Anyscale

JUDGING CRITERIA

  • Technical Implementation (35 points)
    Includes how well the idea was executed by the developer and how well the TiDB Serverless & Vector Search features were leveraged. Does the project demonstrate quality software development? How well does the project leverage all software tools used?
  • Quality/Creativity of the Idea (25 points)
    How creative and unique is the project? Does the concept exist already? If so, how much does the project improve on it?
  • User Experience of the Application (20 points)
    Is the user experience and visual design of the project well thought out? Is there a balanced blend of frontend and backend in the software?
  • Documentation Quality (10 points)
    How well is the application documented for the submission?
  • Quality of the Demo Video (10 points)
    Does the video show the app functioning on the device it was built for? Does the video include a comprehensive explanation? Is the video under 4 minutes?

Contact Information

Department
PingCap

Author Info

Christina Certo

Christina Certo

Member since 2 years ago
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