yixuantt/MultiHop-RAG

Multi-Turn RAG Benchmark

The official repository for the paper: Evaluation of Retrieval-Augmented Generation: A Survey.

Automate your RAG research

RAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.

A-RAG: Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces. State-of-the-art RAG framework with keyword, semantic, and chunk read tools for multi-hop QA.

Retrieval is CheapShow Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation

Official repository for the ICLR 2026 Oral Paper🔥 “Q-RAG: Long Context Multi-Step Retrieval via Value-Based Embedder Training”

Automated benchmarking of Retrieval-Augmented Generation (RAG) systems

A curated list of the latest advancements, papers, tools, and datasets for **Multimodal Retrieval-Augmented Generation (RAG)**. Multimodal RAG integrates information retrieval and generation across multiple data modalities (e.g., text, image, video, audio).