14 个 · RAG 检索增强 · 库
该仓库展示了多种面向 Retrieval-Augmented Generation (RAG) 系统的高级技术，每个技术均配有详细的 notebook 教程。This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
针对给定查询进行网页爬取以获取文章，返回包含标题、摘要、DOI 和参考文献的电子表格。Web scraping to get articles for a given query. It returns an spreadsheet with titles, abstracts, doi and references of the article
自托管、隐私优先的个人 AI 知识伴侣，具备 RAG 驱动的检索、智能 Agent 与可扩展 SDK。Self-hosted, privacy-first Personal AI Knowledge Companion with RAG-powered retrieval, intelligent agents, and extensible SDK
基于 FastAPI + LangChain + RAG 的 AI 智能对话助手，支持多轮对话记忆、图片分析、流式回复、知识库 RAG 检索、上传定义知识库。
Rust 可嵌入的混合搜索原语：BM25、HNSW、reciprocal-rank fusion、UTF-8 安全的 chunking，零依赖。Embeddable hybrid search primitives for Rust: BM25, HNSW, reciprocal-rank fusion, UTF-8-safe chunking. Zero dependencies.
本仓库为我们论文 SPR-SMN：Scientific paper recommendation employing SPECTER with memory network 的代码This repository is for the code of our paper SPR-SMN: Scientific paper recommendation employing SPECTER with memory network
以挑战为中心的多跳 RAG 研究枢纽：五类挑战分类法、208 篇文献综述快照，以及七篇综述参考库。Research hub for challenge-centered multi-hop RAG: five-challenge taxonomy, 208-work review snapshot, and seven-survey reference library.
使用 OpenAI Python SDK 嵌入开发者工具文档并对查询匹配进行排序。Embed developer-tool documents and rank query matches with the OpenAI Python SDK.
Wenshu（文枢）— 面向人文社科研究的 AI 知识处理工作流：本地知识库 / RAG / 中文引文 / 理论谱系。AI knowledge workflow for humanities & social sciences: local knowledge base, RAG, citation (GB/T 7714), knowledge graph.
🌐 利用多跳图推理结合知识图谱和向量搜索，挖掘隐藏的全球供应链风险，获得更深层洞察。🌐 Map hidden global supply chain risks with multi-hop graph reasoning combining knowledge graphs and vector search for deeper insights.