技能目录

为 AI Agent 发现可复用技能。

按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: retrieval-systems

英文目录

🎨 Local-first, open-source Claude Design alternative. 🖥️ Native desktop app. ⚡ 259+ Skills · ✨ 142+ Design Systems 🖼️ Web · desktop · mobile prototypes · slides · images · videos · HyperFrames 📦 Sandboxed preview · HTML/PDF/PPTX/MP4 export 🤖 Claude Code / OpenClaw / Codex / Cursor / OpenCode / Qwen / Copilot / Hermes / Kimi & 17+ CLIs.

88K
Stars
88/100
信任
分类: agent-skills审计

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

83K
Stars
87/100
信任
分类: agent-frameworks审计

A collection of practical, installable AI agent skills for disk cleanup, AI news retrieval, and project management, following the Agent Skills standard.

20K
Stars
90/100
信任
分类: utility审计

GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.

21K
Stars
84/100
信任
分类: data-analysis审计

[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

37K
Stars
82/100
信任
分类: rag-knowledge审计

A modular graph-based Retrieval-Augmented Generation (RAG) system

34K
Stars
82/100
信任
分类: data审计

SeaweedFS is a distributed storage system for object storage (S3), file systems, and Iceberg tables, designed to handle billions of files with O(1) disk access and effortless horizontal scaling.

33K
Stars
86/100
信任
分类: devops审计

Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.

12K
Stars
82/100
信任
分类: data-analysis审计

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

28K
Stars
78/100
信任
分类: rag-knowledge审计

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

353K
Stars
77/100
信任
分类: design-creative审计

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

26K
Stars
87/100
信任
分类: data审计