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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/TengShi-RUC/CFRAG

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Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation

https://github.com/UCSC-VLAA/MedTrinity-25M

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MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

https://github.com/V3RGANz/jointrank

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JointRank: Rank Large Set with Single Pass

https://github.com/VulScribeR/VulScribeR

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VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs

https://github.com/X-LANCE/SLAM-LLM

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DRCap: Decoding CLAP Latents with Retrieval-Augmented Generation for Zero-shot Audio Captioning

https://github.com/X1AOX1A/UniPoll

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UniPoll: A Unified Social Media Poll Generation Framework via Multi-Objective Optimization

https://github.com/YZ-Cai/SimGRAG

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SimGRAG: Leveraging Similar Subgraphs for Knowledge Graphs Driven Retrieval-Augmented Generation

https://github.com/ZGChung/Mix-of-Granularity

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Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation

https://github.com/Zhihan72/TCELongBench

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Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding

https://github.com/Zyphra/TemporalMemoryDataset

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Toward Conversational Agents with Context and Time Sensitive Long-term Memory

https://github.com/aaronli43/grappi

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GraPPI: A Retrieve-Divide-Solve GraphRAG Framework for Large-scale Protein-protein Interaction Exploration

https://github.com/achouhan93/lexdrafter

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LexDrafter: Terminology Drafting for Legislative Documents using Retrieval Augmented Generation

https://github.com/adelwang/migres

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LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation

https://github.com/ag2ai/simpledoc

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SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative Refinement

https://github.com/agrzheng/GRADA

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GRADA: Graph-based Reranker against Adversarial Documents Attack

https://github.com/ai-in-hospitals/patient-instructions

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Retrieval-Augmented and Knowledge-Grounded Language Models for Faithful Clinical Medicine

https://github.com/ai-secure/safeauto

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SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models

https://github.com/ai4africagroup/telcom_llm

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QMOS: Enhancing LLMs for Telecommunication with Question Masked loss and Option Shuffling

https://github.com/ai4eic/eic-rag-project

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Towards a RAG-based Summarization Agent for the Electron-Ion Collider

https://github.com/aic-factcheck/aic_averitec

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AIC CTU system at AVeriTeC: Re-framing automated fact-checking as a simple RAG task

https://github.com/aiming-lab/mdocagent

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MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding

https://github.com/aiondemand/aiod-chatbot

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Talk2X -- An Open-Source Toolkit Facilitating Deployment of LLM-Powered Chatbots on the Web

https://github.com/aita-ai4ed/aita

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AI-TA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMs

https://github.com/akariasai/evidentiality_qa

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Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks

https://github.com/alebondarenko/llm-robustness

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LLM Robustness Against Misinformation in Biomedical Question Answering

https://github.com/alexlecu/llmkgraph

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Knowledge Graph-Driven Retrieval-Augmented Generation: Integrating Deepseek-R1 with Weaviate for Advanced Chatbot Applications

https://github.com/alexmartin1722/wikivideo

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WikiVideo: Article Generation from Multiple Videos

https://github.com/ali-bahrainian/rag_best_practices

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Enhancing Retrieval-Augmented Generation: A Study of Best Practices

https://github.com/alibaba-nlp/omnisearch

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Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent

https://github.com/alibaba-nlp/vec-ra-odqa

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Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts

https://github.com/alibaba-nlp/webwalker

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WebWalker: Benchmarking LLMs in Web Traversal

https://github.com/alipay/agentuniverse

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PEER: Expertizing Domain-Specific Tasks with a Multi-Agent Framework and Tuning Methods

https://github.com/alirezasalemi7/erag

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Evaluating Retrieval Quality in Retrieval-Augmented Generation

https://github.com/alirezasalemi7/pr-rag

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Plan-and-Refine: Diverse and Comprehensive Retrieval-Augmented Generation

https://github.com/alirezasalemi7/urag

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Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models

https://github.com/allen-li1231/refiner-rag

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Refiner: Restructure Retrieval Content Efficiently to Advance Question-Answering Capabilities

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