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

An agent that is able to help a user generate optimal queries for a RAG system.

Rag Assisstant

Faran Butt

Isayah Culbertson

One of the difficulties of adopting RAG to a mass audience is lack of understanding of the underline NLP techniques required to produce good queries. With this tool, there is an AI agent that looks at the query and the results to help the user make better queries in the future. For example, If the user never used RAG before, they may ask a vague question. The agent will pick up on this and inform the user. In addition, it will provide suggestion of how to query for better results. This tool is general enough to be easy to adapt with already established RAG pipelines, in addition it is agnostic to data meaning it could be adopted to many fields. 

Alot of AI integrated tools are difficult to adopt to non-technical people because of the underline patterns involved. Especially when it involves NLP. With RAG assistant, user can be guided towards making better queries.

"Rag Assisstant team on RAG: LLMs with your data Hackathon"

Team Idea

Submission