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Official PyTorch implementation of the paper "Dataset Distillation with Neural Characteristic Function: A Minmax Perspective" (NCFM) in CVPR 2025 (Highlight).
HyperGraphRAG: Retrieval-Augmented Generation with Hypergraph-Structured Knowledge Representation
[NAACL 2024] End-to-End Beam Retrieval for Multi-Hop Question Answering
Code implementation of synthetic continued pretraining
ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)
The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Official Implementation of ICLR 2024 paper: "Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning"
基于智能体 RAG 知识库的知识图谱问答系统。Langgraph + VueJS + Flask + Neo4j。大模型适配 OpenAI、Ollama、vLLM、国内主流大模型平台的模型调用。支持推理模型DeepSeek-R1、联网检索、工具调用。
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
[ICLR 2025] Code and Data Repo for Paper "Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation"
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation
Google Research
Hands on Lab for Neo4j and Vertex AI
This is the official github repo of Think-on-Graph (ICLR 2024). If you are interested in our work or willing to join our research team in Shenzhen, please feel free to contact us by email (xuchengj…
Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.
[ICLR 2025] Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation