wanxueyao / MMGraphRAGLinks
MMGraphRAG is a multi-modal knowledge graph-based framework designed to enhance complex reasoning tasks, such as multi-modal document question-answering. It integrates text and image data into a fine-grained, structured knowledge graph, utilizing scene graphs for image data and a spectral clustering-based fusion module.
☆62Updated last week
Alternatives and similar repositories for MMGraphRAG
Users that are interested in MMGraphRAG are comparing it to the libraries listed below
Sorting:
- Document-level Retrieval Augmented Knowledge Graph Construction☆199Updated 3 months ago
- [WWW 2025] A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System.☆159Updated 6 months ago
- Agentic RAG R1 Framework via Reinforcement Learning☆374Updated 2 weeks ago
- Source code for our paper ''RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts''☆49Updated 2 months ago
- MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding☆292Updated 5 months ago
- [2025-上海人工智能实验室书生实训营十佳、优秀项目]☆42Updated 4 months ago
- [arxiv: 2503.23895] Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement☆170Updated 5 months ago
- Repo for "VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforce…☆432Updated 2 weeks ago
- [NeurIPS 2025] Official resources of "HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation".☆325Updated 4 months ago
- MetaSearch:llm深度研究(deepsearch)功能方案实现☆34Updated 5 months ago
- This is the reading list for the survey "A Survey on the Optimization of LLM-based Agents ". We will keep adding papers and improving the …☆184Updated 6 months ago
- Codes for our paper "RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation"☆198Updated last year
- StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization☆157Updated last month
- 💡 Awesome RAG: A resource of Retrieval-Augmented Generation (RAG) for LLMs, focusing on the development of technology.☆418Updated 2 weeks ago
- An implementation of "M3DOCRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding" by Jaemin Cho, Debanj…☆48Updated last year
- FlexRAG: A RAG Framework for Information Retrieval and Generation.☆231Updated last week
- A Survey on Multimodal Retrieval-Augmented Generation☆463Updated 2 weeks ago
- Meta-Chunking: Learning Efficient Text Segmentation via Logical Perception☆272Updated 4 months ago
- Awesome Deep Research list! For more details, please refer to our survey paper -- A Comprehensive Survey of Deep Research: Systems, Metho…☆404Updated 3 months ago
- [EMNLP 2024] LongRAG: A Dual-perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering☆117Updated last year
- "Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation" by Yifan Feng, Hao Hu, Xingliang Hou, Sh…☆235Updated last month
- Simple implementation of Retrieval-Augmented Generation System☆29Updated last year
- Official repository for RAG-Gym☆119Updated 10 months ago
- Repo for for paper "AgentRE: An Agent-Based Framework for Navigating Complex Information Landscapes in Relation Extraction".☆70Updated last year
- made RAG pipeline better in table data☆117Updated last year
- Open replication of DeepSeek R1 for text-to-graph extraction.☆99Updated last year
- ☆211Updated 9 months ago
- ☆87Updated 10 months ago
- This is the code repo for our paper "Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts".☆41Updated 4 months ago
- ☆372Updated last year