2 papers
cs.CL2025
MetaGen Blended RAG: Unlocking Zero-Shot Precision for Specialized Domain Question-Answering
Kunal Sawarkar, Shivam R. Solanki, Abhilasha Mangal
Retrieval-Augmented Generation (RAG) struggles with domain-specific enterprise datasets, often isolated behind firewalls and rich in complex, specialized terminology unseen by LLMs…
cs.IR2024
Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers
Kunal Sawarkar, Abhilasha Mangal, Shivam Raj Solanki
Retrieval-Augmented Generation (RAG) is a prevalent approach to infuse a private knowledge base of documents with Large Language Models (LLM) to build Generative Q\&A (Question-Ans…