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Retrieval-augmented Generation

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/nil-zhuang/efficientrag-official

공식 코드

EfficientRAG: Efficient Retriever for Multi-Hop Question Answering

https://github.com/nju-websoft/KG2RAG

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Knowledge Graph-Guided Retrieval Augmented Generation

https://github.com/nju-websoft/formulaqa

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FormulaReasoning: A Dataset for Formula-Based Numerical Reasoning

https://github.com/nju-websoft/formulareasoning

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FormulaReasoning: A Dataset for Formula-Based Numerical Reasoning

https://github.com/nju-websoft/mmrag

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mmRAG: A Modular Benchmark for Retrieval-Augmented Generation over Text, Tables, and Knowledge Graphs

https://github.com/nkanak/brag-fake-news-campaigns

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Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class Imbalance

https://github.com/nomic-ai/contrastors

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Training Sparse Mixture Of Experts Text Embedding Models

https://github.com/nomothings/charge

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Benchmarking Multimodal RAG through a Chart-based Document Question-Answering Generation Framework

https://github.com/nu-c3lab/satyrn

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Satyrn: A Platform for Analytics Augmented Generation

https://github.com/nyuolab/MedDistractQA

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Medical large language models are easily distracted

https://github.com/nyuolab/MedMobile

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MedMobile: A mobile-sized language model with expert-level clinical capabilities

https://github.com/ocean-luna/hmrag

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HM-RAG: Hierarchical Multi-Agent Multimodal Retrieval Augmented Generation

https://github.com/oceanntwt/ra-isf

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RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback

https://github.com/om-ai-lab/imagerag

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ImageRAG: Enhancing Ultra High Resolution Remote Sensing Imagery Analysis with ImageRAG

https://github.com/oneal2000/dragin

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DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

https://github.com/oneal2000/judge

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JuDGE: Benchmarking Judgment Document Generation for Chinese Legal System

https://github.com/oneal2000/prag

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Parametric Retrieval Augmented Generation

https://github.com/openbmb/ioa

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Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence

https://github.com/openbmb/rageval

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RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework

https://github.com/openbmb/ultrarag

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UltraRAG: A Modular and Automated Toolkit for Adaptive Retrieval-Augmented Generation

https://github.com/openbmb/visrag

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VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents

https://github.com/opendatalab/OHR-Bench

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OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation

https://github.com/opendatalab/OmniDocBench

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OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations

https://github.com/openmatch/activerag

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ActiveRAG: Autonomously Knowledge Assimilation and Accommodation through Retrieval-Augmented Agents

https://github.com/openmatch/rag-ddr

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RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards

https://github.com/openspg/kag

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KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation

https://github.com/optima-cti/intellbot

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IntellBot: Retrieval Augmented LLM Chatbot for Cyber Threat Knowledge Delivery

https://github.com/osu-nlp-group/hipporag

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HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models

https://github.com/oyar99/ir-ag-reg

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A Hybrid Approach to Information Retrieval and Answer Generation for Regulatory Texts

https://github.com/padas-lab-de/PersonaRAG

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PersonaRAG: Enhancing Retrieval-Augmented Generation Systems with User-Centric Agents

https://github.com/panruotong/cag

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Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation

https://github.com/particlemedia/ragtruth

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RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

https://github.com/pasquini-dario/llm_neuralexec

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Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection Attacks

https://github.com/pat-jj/KARE

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Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval

https://github.com/pat-jj/Retrieval-And-Structure

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RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation

https://github.com/pat-jj/ras

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RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation

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