19 citations · 19 across the 3 of their papers we have counts for
3 papers
Contextually Aware E-Commerce Product Question Answering using RAG
Praveen Tangarajan, Anand A. Rajasekar, Manish Rathi +2
E-commerce product pages contain a mix of structured specifications, unstructured reviews, and contextual elements like personalized offers or regional variants. Although informati…
Flippi: End To End GenAI Assistant for E-Commerce
Anand A. Rajasekar, Praveen Tangarajan, Anjali Nainani +4
The emergence of conversational assistants has fundamentally reshaped user interactions with digital platforms. This paper introduces Flippi-a cutting-edge, end-to-end conversation…
Reinforcement Learning for Optimizing RAG for Domain Chatbots
Mandar Kulkarni, Praveen Tangarajan, Kyung Kim +1
With the advent of Large Language Models (LLM), conversational assistants have become prevalent for domain use cases. LLMs acquire the ability to contextual question answering thro…