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

139

工具排名

Ranked by known GitHub stars, highest first; archived repositories come after maintained repositories. 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。

  1. 1
    未知最近提交:暂无数据

    Interface between LLMs and your data

    pypi实测增长打开来源 ↗

    安装 pip install llama-index

    788 3517 天下载量+62 634 (+8.6 %)
  2. 2

    未知最近提交:暂无数据

    Typescript bindings for langchain

    npm实测增长打开来源 ↗

    安装 npm install langchain

    1 882 0367 天下载量-127 698 (-6.4 %)
  3. 3
    未知最近提交:暂无数据

    Embeddings, Retrieval, and Reranking

    pypi实测增长打开来源 ↗

    安装 pip install sentence-transformers

    5 343 8597 天下载量+30 602 (+0.58 %)

学习与参考资源

Ranked by known GitHub stars, highest first; archived repositories come after maintained repositories. 这些资源可单独访问,不参与主要排名。

  1. 1
    活跃打开来源 ↗

    Official Claude Documentation - Converted to 2000+ Markdown Files - All documentation sourced from first party sources- 24 categories - refreshed daily, multi-agent orchestration

    github

    安装 /plugin marketplace add johnzfitch/claude-wiki

    资源实测增长
    21GitHub 星标稳定
  2. 2
    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
  3. 3
    活跃打开来源 ↗

    🤖 The strongest curated list of open-source AI-agent tools for literature review — 70+ tools across 11 categories (Claude Code skills, deep research, MCP servers, PDF parsing, systematic review). 面向智能体文献综述的最强工具大全。

    github资源实测增长
    16GitHub 星标+2 (+14.3 %)
  4. 4
    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
  5. 5
    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
  6. 6
    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
  7. 7
    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
  8. 8
    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
  9. 9
    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
  10. 10
    活跃打开来源 ↗

    A collection of LLM-powered Real-World applications and projects

    github资源实测增长
    0GitHub 星标稳定
  11. 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·