most citedBlended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers

129 citations · 129 across the 2 of their papers we have counts for

collaborators

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★ 129 cited

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…