Women in AI RAG Hackathon @ Stanford
Celebrate and empower women in AI at the Women in AI RAG Hackathon in Palo Alto! In partnership with Zilliz and Women Who Do Data (W2D2), this hackathon invites women technologists to explore and build Retrieval-Augmented Generation using open-source vector database technology. Connect, learn, and push the boundaries of AI technology in a supportive and inspiring environment!
This event is an all day in-person hackathon in Palo Alto.
Attendees must have basic coding experience and be 18+ years of age. Mentors and helpers will also be onsite to support you.
We’ll create teams based on the information you provide at registration so you’ll get a chance to meet new people and we can balance the experience levels.
You’ll build all day and then projects will be presented for judging. Prizes will be awarded to the top projects (more specifics soon)!
Food and drink, engaging conversation, and incredible company will all be provided!
Don’t forget to bring your power cord, laptop and your imagination.
The hackathon prompt is the following:
Build a retrieval-augmented generation (RAG) system for one of the following applications:
A recommender system
A question/answering system for a specialized domain
A product review summarizer
A personalized job recruiter
Something of your own design!
Your solution must use Milvus Lite as the underlying vector database and you are restricted to using foundation models under 8B parameters. You may use agentic steps in your RAG pipeline.
As always, food and drink, engaging conversation, and incredible company will all be provided!
Please be advised: Unfortunately, space is very limited at these community events and we can not always accept everyone we would like to. If you are not accepted to this event, please keep applying! We appreciate your application tremendously and we are looking forward to seeing you at a future event very soon!
The GenAI Collective is a non-profit, grassroots community of 25,000+ founders, researchers, operators, and investors representing the global forum for AI and technological progress. Through world-class events, workshops, and online forums, members leverage their diverse perspectives and innovative minds to foster meaningful relationships, solve challenging problems, and define the future of AI.
Zilliz is the creator and key maintainers of Milvus, the most popular open source vector database. In addition to building vector search solutions, Zilliz also runs a series of Unstructured Data Meetups around the world to build community among those building AI and ML applications.
Women Who Do Data (W2D2) is a member-led community dedicated to supporting diverse talent in AI technology development. Our mission is to increase the presence of underrepresented groups within the fields of AI and Data by providing career development, networking, mentorship, and project opportunities.
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