RAG: LLMs with your data

Opening stream of the Hackathon to onboard you in the Hackathon rules, technology and guide through your Hackathon journey.

Hackathon Kick-Off

Please note, the time of the session may be changed. Follow the announcements via email and in the Discord channel.

Vectara Workshop: learn the technology and get started with your project!

Anyscale Introduction

Join us and experience the excitement as you actively engage in our dynamic panel discussion on RAG. This captivating discussion will be expertly moderated by Ofer Mendelevitch from Vectara. 

RAG Panel Discussion

General Q&A session on Discord

Join the Talk to improve your applications UI!

The importance of UI for developing RAG applications

Join Forrest Bao and Ofer Mendelevitch for the discussion of the latest Vectara's release and make the most of it for your Hackathon submission!

Vectara New Feature Announcement For Hackathon Participants

Hackathon Submission Deadline

Transforming Customer Service Bot Development with Vectara's RAG

Louis Jefferson Zhang

Our platform, empowered by Vectara's Retrieval-Augmented Generation (RAG) pipeline, marks a significant advancement in customer service technology. It addresses the key limitation of traditional chatbots, which require constant retraining on updated QnA pairs, by automatically refreshing its knowledge base through the ingestion of diverse multimedia content like documents, YouTube videos, and webpages. Currently in its prototype phase on Streamlit, users can test the system by inputting their personal Vectara database credentials, enjoying a conversational interface designed for friendly and efficient interactions. This initial setup paves the way for a broader application, where the platform can be expanded into a network encompassing both client and company sides, creating a comprehensive, AI-powered customer service ecosystem.

Vectara's RAG-Enhanced Customer Service Bot Platform

"LJZ team on RAG: LLMs with your data Hackathon"

Team Idea

Submission