Advanced RAG Hackathon

Start

by Simon Olson, Co-Founder of New Native 

Hackathon Kick Off - Lablab.ai Introduction

by Ofer Mendelevitch, Head of Developer Relations

Vectara Opening Words

Together Opening Words

LlamaIndex Opening Words

by Chris Maddock, Head of Product Marketing 

Unstructured Opening Words

Tonic Opening Words

General Q&A session on Discord

Tools for building UI for AI

Advanced RAG workshop

Using advanced RAG system to create a fraud detection system in fin.

RAGistan

Mujtaba-Ali

syedshahhussain

ZeshanPro

Pine_Calmuv6b

saqlainabid

Using Vectara and Llamaindex we process tabular data using multiple models to get extremely accurate recommendations. Our solution can scrape product information from any e-commerce platform such as Amazon, Walmart, eBay, etc., and use RAG to incorporate customer-specific preferences to find out the best suitable products for price, features, ratings, etc. 
The solution facilitates the hybrid search mechanism i.e. keyword as well as semantic search capabilities. It also supports summarization for products e.g. concerning sales, trends, revenue, etc.
The next steps are using a voice-enabled chatbot, and an alerting mechanism with product search across internet. 

The idea is to compare products on Amazon with respect to price, ratings, and customer preferences.

"RAGistan team on Advanced RAG Hackathon Hackathon"

Team Idea

Submission