Handbook for AI Tinkerers - Dubai Hackathon
Welcome to the AI Tinkerers Dubai Hackathon! This handbook provides key resources, tools, and tips to help you build and demo innovative AI projects powered by Couchbase’s Capella services.
1. Sponsor Tools & Resources
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Vector Search & Embeddings: Understand how to use Couchbase’s vector database capabilities for semantic search and similarity matching. See the
vector search guide.
2. Technical Resources
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Large Language Models (LLMs): Consider using open-source or managed LLM APIs such as OpenAI GPT, Cohere, or Hugging Face Transformers.
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Generative AI Frameworks: Check out frameworks like LangChain, LlamaIndex, or Haystack to build agentic applications.
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Data Handling: Use Couchbase’s flexible NoSQL document store to manage your data efficiently.
3. Project Ideas
- Build a smart assistant that leverages LLMs with vector search for personalized recommendations.
- Create a generative AI tool that automates content creation or code generation using hosted models.
- Develop an AI-powered chatbot that integrates real-time data from Couchbase databases.
- Experiment with multi-modal AI by combining text embeddings with image or audio data stored in Couchbase.
4. Best Practices for Building & Demoing
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Start Small: Focus on a minimum viable product (MVP) that clearly demonstrates your core idea.
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Collaborate: Use team formation time wisely to align skills and divide tasks.
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Document Your Work: Keep your GitHub repo updated with clear README files and instructions.
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Prepare Your Demo: Highlight the problem, your solution, and a live or recorded demo showcasing key features.
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Engage Judges: Be ready to answer questions about your tech stack, challenges faced, and future plans.
5. Additional Support
- Join the official Discord channel for real-time help and networking.
- Reach out to mentors and sponsors during the event for guidance.
6. Intellectual Property (IP) Rights
You own your work: All IP created is yours.
Organizers/sponsors may use, showcase, or reference projects for promotional or educational purposes, with proper attribution to creators.
Projects must not infringe on third-party IP rights. Open-source components or libraries must comply with their licenses.
Good luck, have fun, and let’s build the future of AI together! 🚀