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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
503 results
A curated list of awesome knowledge graph tutorials, projects and communities.
WhyHow Knowledge Graph Studio
基于大模型+知识图谱的知识库问答
In this project, I explored how to extract knowledge graphs from text using LLMs, such as OpenAI GPT4o.
Bulding kg from 0
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
AI Powered Knowledge Graph Generator
利用网络上公开的数据构建一个小型的证券知识图谱/知识库
Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspired by Karpathy and 3Blue1Brown for moving beyond prompt engineering to the wider discipline of context design, orchestration, and optimization.
Context Portal (ConPort): A memory bank MCP server building a project-specific knowledge graph to supercharge AI assistants. Enables powerful Retrieval Augmented Generation (RAG) for context-aware development in your IDE.
MCP server enabling persistent memory for Claude through a local knowledge graph - fork focused on local development
Harness is a Machine Learning/AI Server with plugins for many algorithms including the Universal Recommender
Chat with your documents using Vision Language Models. This repo implements an End to End RAG pipeline with both local and proprietary VLMs
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch
Learn about Machine Learning and Artificial Intelligence
A list of recent papers about Graph Neural Network methods applied in NLP areas.
Fully open reproduction of DeepSeek-R1
A powerful document AI question-answering tool that connects to your local Ollama models. Create, manage, and interact with RAG systems for all your document needs.
Karpathy’s LLM Wiki, 100% local with Ollama. Drop Markdown notes → AI extracts concepts → your Obsidian wiki auto-links and grows. Zero sharing. Your notes stay yours.
🧠 纯原生 Python 实现的 RAG 框架 | FAISS + BM25 混合检索 | 支持 Ollama / SiliconFlow | 适合新手入门学习
SuperEasy 100% Local RAG with Ollama + Email RAG
24,523 repositories in the index in total.
