HKUDS/MiniRAG
quality grade C, 58 out of 100[ACL2026] "MiniRAG: Making RAG Simpler with Small and Open-Sourced Language Models"
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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Retrieval-augmented generation, document Q&A, knowledge graphs and memory systems.
Signals: rag, retrieval-augmented-generation, llamaindex, knowledge-graph, question-answering, chat-with-documents, graphrag, memory
501 results
[ACL2026] "MiniRAG: Making RAG Simpler with Small and Open-Sourced Language Models"
Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.
[KDD'2026] "VideoRAG: Chat with Your Videos"
Everything you need to know to build your own RAG application
The open source platform for AI-native application development.
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
Local-first AI-powered document intelligence platform for investigative journalism
Open-source, self-hosted alternative to NotebookLM. Chat with your documents, generate audio summaries, and ground AI in your own sources—built with Supabase and N8N on a React frontend.
Research project. A Memory solution for users, teams, and applications.
Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
SentiBridge: A Knowledge Base for Entity-Sentiment Representation
Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure
Awesome-RAG: Collect typical RAG papers and systems.
KgCLUE: 大规模中文开源知识图谱问答
Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)
Chatbot assistant enabling GitHub repository interaction using LLMs with Retrieval Augmented Generation
A LLM RAG system runs on your laptop. 大模型检索增强生成系统,可以轻松部署在笔记本电脑上,实现本地知识库智能问答。
Open-source tool to visualise your RAG 🔮
code and docs for the EMNLP paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"
[NeurIPS 2022] DRAGON 🐲: Deep Bidirectional Language-Knowledge Graph Pretraining
A knowledge management garden for https://obsidian.md, in which to grow your ideas
Plug-and-play memory for LLMs in 3 lines of code. Add persistent, intelligent, human-like memory and recall to any model in minutes.
RAG-QA-Generator 是一个用于检索增强生成(RAG)系统的自动化知识库构建与管理工具。该工具通过读取文档数据,利用大规模语言模型生成高质量的问答对(QA对),并将这些数据插入数据库中,实现RAG系统知识库的自动化构建和管理。
Memento MCP: A Knowledge Graph Memory System for LLMs
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