Spice AI Take-Home Assessment

Welcome to the Spice AI take-home assessment! This assignment is designed for university candidates applying for full-time or intern positions. You'll build a simple Rust application leveraging Spice.ai Open Source Software (OSS). This is an opportunity to showcase your ability to learn and apply new concepts quickly.

Estimated Time to Complete: Less than 4 hours
Reward: Submissions that meet all criteria will receive a Spice AI swag pack!

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Table of Contents

• Spice AI Take-Home Assessment
  • Table of Contents
  • Overview
  • Requirements
  • Submission Guidelines
  • Grading Criteria
  • Extra Credit Opportunities
  • Resources
  • Getting Help

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Overview

Your task is to create a simple Rust application that utilizes Spice.ai OSS for data and AI-driven functionality. You'll use this GitHub template to start your project, and your final submission will be a GitHub repository based on this template containing all required components.

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Requirements

Your repository should include the following:

1. Rust Application

   • A simple application built in Rust that demonstrates your ability to use Rust effectively.
   • Incorporate Spice.ai OSS to enhance your application's functionality.

2. One or More spicepod.yml Files

   • Define your data connectors, embeddings, and models using spicepod.yml.
   • Ensure your Spicepods are well-structured and documented.

3. Documentation

   • Provide clear documentation explaining:
     • The purpose of your application.
     • How to build and run it.
     • Any dependencies or setup instructions.
     • An explanation of your Spicepods.
     • Any credentials required.

4. GitHub Issues for Project Management

   • Use GitHub Issues to track your project's tasks and progress.
   • Include meaningful commit messages linked to your issues.

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Submission Guidelines

1. Use this GitHub Template

   • Use this repository template to create your repository.

2. Develop Your Application

   • Implement your Rust application and Spicepods within the repository.
   • Regularly commit your changes with descriptive messages.

3. Manage Your Project with GitHub Issues

   • Create issues for tasks, features, and bugs.
   • Close issues via commit messages (e.g., Fixes #1 - Implement data connector).

4. Document Your Work

   • Update the README.md in your repository with your application's documentation.

5. Submit Your Repository

   • Once complete, ensure your repository is public.
   • Email the link to your recruiter or submit it as per the application instructions.

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Grading Criteria

Your submission will be evaluated based on:

1. Use of Data Connectors, Embeddings, and Models

   • Diversity and creativity in using Spice.ai features.

2. Code Quality

   • Clean, efficient, and well-documented Rust code.
   • Proper use of SQL if applicable.

3. Application Usefulness

   • The practicality and originality of your application.

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Extra Credit Opportunities

Boost your submission by:

1. Community Engagement

   • Help others by answering questions in Discord.

2. Submitting High-Quality Bug Reports

   • Report any issues you find to Spice.ai GitHub Issues with detailed information.

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Resources

• Spice.ai OSS Rust SDK

  • Office SDK for Rust: github.com/spiceai/spice-rs

• Spice.ai OSS Samples

  • Explore example applications: spiceai/samples

• Spice.ai OSS Quickstarts

  • Get started quickly with these guides: spiceai/quickstarts

• Spice.ai OSS Documentation

  • Official docs: docs.spiceai.org

• Rust Language Resources

  • Rust documentation: doc.rust-lang.org

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Getting Help

• Discord Community

  • Join our Discord server and ask and answer questions in the #help channel: Spice AI Discord

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Good luck!