Google Vertex AI Hackathon

Welcome to Opening Stream for Google Cloud Vertex AI Hackathon! Join us for opening Talks and Hackathon Guide.

Hackathon Kick-Off

Ksenia Nekrasova and Katharina Beck from Google Cloud will open the Hackathon with inspirational words and onboarding into the Google Cloud products

Google Cloud's Opening

We will guide you through the website, and Discord community - to make sure you will succeed at the Hackathon 

Hackathon Guide

Let's go through the Technology for the Hackathon and how you can get access to it.

Technology and Challenge

Alex Erfurt, the representer of Google Cloud will join the stage to guide you through the AI models and the use cases for your Hackathon projects 

Guide into Google Cloud

After the Kick-Off stream, focus on finding your team for the Hackathon and start brainstorming your idea!

Team Formation time!

5-min tutorial for non-tech participants on the creation of GitHub account

GitHub for non-tech participants

Start of the Team Formation

Join Q&A space on lablab.ai Discord server for open session to discuss any questions you may have

Open Q&A with mentors

Submission Deadline

VectexAI

Alishba

FengJi2021

Umar_tir

fidelismarkcen_AI01

talha

jiashaoc

Vectex AI is a project that seamlessly fuses VectorStore, an advanced vector search library, with Google's Vertex AI, setting a new precedent for AI-enhanced, fact-based conversations.
The project's nucleus resides in the innovative use of VectorStore, a tool well-primed for handling high dimensional data. The VectorStore database, stored within a Google Cloud bucket, serves as an extensive reservoir of information. It powers the project's memory retrieval capabilities, allowing for comprehensive and factual responses to user queries.
The integration of Vertex AI complements the project's ambition. Google's versatile machine learning platform ingests the user's conversational prompts, and leveraging its pre-trained model, executes a search process within VectorStore. The 'cosine' distance metric and a cap of '20' results optimize this search, ensuring the system retrieves the most relevant data for each query.
The marriage of Vertex AI's knowledge retrieval with VectorStore's memory capacities creates a powerful synergy. It allows the AI to engage in conversation, while simultaneously accessing and integrating factual knowledge. The result is a dialogue that's not only intelligent but contextually enriched and accurate.
The project is encapsulated within a sleek web UI, courtesy of Vue.js and Tailwind CSS. This vibrant, user-friendly interface houses the Vertex AI-VectorStore fusion, offering an engaging platform for users to experience these enhanced AI dialogues firsthand. The UI's dynamically updated background image, fetched directly from the asset directory, adds a captivating visual touch, making the dialogue process more immersive.

Leveraging Vertex AI and VectorStore for Enhanced AI for Generating valuable conversation with more fact base using Vertex AI + Vectorstore + Langchain

"VectexAI team on Google Vertex AI Hackathon Hackathon"

Team Idea

Submission