工具说明为英文。
RAG 与搜索
检索增强、向量数据库、嵌入和语义搜索。
用途
活跃度
排序方式
138
工具排名
估算排名:至少需要两次每日测量才能计算增长。 原始值保留各自的数据窗口;计算变化需要 7 天内至少两次测量。
学习与参考资源
混合排名:实测增长优先。 这些资源可单独访问,不参与主要排名。
- 1活跃打开来源 ↗
My complete journey to becoming an Agentic AI Engineer through structured learning, projects, experiments, and production-ready implementations of modern AI systems.
github资源实测增长18GitHub 星标稳定 - 2活跃打开来源 ↗
Detect underpriced products by scraping deals and using AI models to estimate fair prices for profit opportunity identification.
github资源实测增长1GitHub 星标稳定 - 3活跃打开来源 ↗
Handbook técnico aberto sobre engenharia de IA em produção: ML tradicional, LLMs, RAG, agentes, segurança, observabilidade, FinOps e deployment.
github资源实测增长1GitHub 星标稳定 - 4活跃打开来源 ↗
Comprehensive collection of AI concepts, research findings, and practical implementations. From machine learning fundamentals to cutting-edge LLMs, agents, and emerging technologies.
github资源实测增长1GitHub 星标稳定 - 5休眠打开来源 ↗
Interactive roadmap for becoming an Agentic AI Engineer — 11 stages from Python & FastAPI to multi-agent systems, MCP, RAG, Docker, and context engineering
github资源实测增长1GitHub 星标稳定 - 62GitHub 星标稳定
- 7活跃打开来源 ↗
Curated Agentic AI resources: AI agent frameworks, tutorials, courses, projects, MCP tools, research papers, evaluation, security, and production guides.
github资源实测增长2GitHub 星标稳定 - 8活跃打开来源 ↗
Spring AI 实战教程 🚀 ChatClient → RAG → MCP → Agent → A2A,24 个手写模块循序渐进(Spring Boot 4.1 + Spring AI 2.0 + Java 21)
github资源实测增长3GitHub 星标稳定 - 9休眠打开来源 ↗
Persistent memory for Claude Code. Auto-capture decisions, learnings, client info. Cloud backup to Supabase. Never lose context again. Free alternative to Mem.ai, Rewind AI, Personal AI.
github资源实测增长14GitHub 星标稳定 - 100GitHub 星标—
- 11休眠打开来源 ↗
50+ AI agent apps you can actually run — MCP, A2A, LangGraph, SAP, RAG, and multi-agent patterns
github资源估算动量0GitHub 星标—