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
A Langchain app that allows you to chat with multiple PDFs
一个基于langchain实现RAG的简单示例
No description
An AI-app that allows you to upload a PDF and ask questions about it. It uses OpenAI's LLMs to generate a response.
This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face models for generation and evaluation.
The easiest way to get started with LlamaIndex
A real world full-stack application using LlamaIndex
No description
A powerful meta-prompting, context engineering and spec-driven development system that enables agents to work for long periods of time autonomously without losing track of the big picture
The paper list of "Memory in the Age of AI Agents: A Survey"
Agent Skills as a Memory Layer
OSVVM Utility Library: AlertLogPkg, CoveragePkg, RandomPkg, ScoreboardGenericPkg, MemoryPkg, TbUtilPkg, TranscriptPkg, ...
【C++ 面试 + C++ 学习指南】 一份涵盖大部分 C++ 程序员所需要掌握的核心知识。
从无到有构建一个电影知识图谱，并基于该KG，开发一个简易的KBQA程序。
knowledge graph知识图谱,从零开始构建知识图谱
北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答（KBQA），基于文本的问答系统（TextQA），基于表格的问答系统（TableQA）、基于视觉的问答系统（VisualQA）和机器阅读理解（MRC）等，每类任务分别对学术界和工业界进行了相关总结。
FAQ-based Question Answering System
农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策
The open-source alternative to Carbon.ai. Build powerful RAG applications with any data source, at any scale.
RAG Search API
[ICLR 2026] Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning
🔍 Search-o1: Agentic Search-Enhanced Large Reasoning Models [EMNLP 2025]
An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo RAG, etc.
An AI knowledge base/agent built with .Net 9, AntBlazor, Semantic Kernel, and Kernel Memory, supporting local offline AI large models. It can run offline without an internet connection. Supports Aspire for monitoring application data.
24,538 repositories in the index in total.
