RAG and search: tools for developers

Retrieval-augmented tools, vector databases, embeddings and semantic search. An entry can appear under several use cases when its topics or description provide several explicit signals.

Use case

Activity

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139 entries in this view.

Tool ranking

Ranked by known GitHub stars, highest first; archived repositories come after maintained repositories. Raw values keep their source-specific window, shown under each tool; a change requires at least two snapshots from the last 7 days.

  1. 1

    Library
    UnknownLast commit: unavailable

    Typescript bindings for langchain

    npmmeasured growthOpen source ↗

    Install npm install langchain

    1 918 070downloads over 7 days-677 690 (-26.1 %)
  2. 2

    Library
    UnknownLast commit: unavailable

    Interface between LLMs and your data

    pypimeasured growthOpen source ↗

    Install pip install llama-index

    781 161downloads over 7 days-206 854 (-20.9 %)
  3. 3
    UnknownLast commit: unavailable

    Embeddings, Retrieval, and Reranking

    pypimeasured growthOpen source ↗

    Install pip install sentence-transformers

    5 340 106downloads over 7 days-795 607 (-13.0 %)

Learning resources

Ranked by known GitHub stars, highest first; archived repositories come after maintained repositories. These resources remain available separately and do not take part in the main tool ranking.

  1. 1
    ActiveOpen source ↗

    Build LLM systems you actually control. A free, open engineering book + course — from tokenization to serving your own models. Mechanisms, trade-offs, and numbers, not prompt tips

    githubResourcemeasured growth
    46GitHub starsstable
  2. 2
    ActiveOpen source ↗

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

    github

    Install /plugin marketplace add johnzfitch/claude-wiki

    Resourcemeasured growth
    21GitHub starsstable
  3. 3
    ActiveOpen source ↗

    My complete journey to becoming an Agentic AI Engineer through structured learning, projects, experiments, and production-ready implementations of modern AI systems.

    githubResourcemeasured growth
    18GitHub starsstable
  4. 4
    ActiveOpen source ↗

    🤖 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。

    githubResourcemeasured growth
    16GitHub stars+3 (+23.1 %)
  5. 5
    ActiveOpen source ↗

    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)

    githubResourcemeasured growth
    3GitHub starsstable
  6. 6
    ActiveOpen source ↗

    Curated Agentic AI resources: AI agent frameworks, tutorials, courses, projects, MCP tools, research papers, evaluation, security, and production guides.

    githubResourcemeasured growth
    2GitHub starsstable
  7. 7
    ActiveOpen source ↗

    Handbook técnico aberto sobre engenharia de IA em produção: ML tradicional, LLMs, RAG, agentes, segurança, observabilidade, FinOps e deployment.

    githubResourcemeasured growth
    1GitHub starsstable
  8. 8
    ActiveOpen source ↗

    Comprehensive collection of AI concepts, research findings, and practical implementations. From machine learning fundamentals to cutting-edge LLMs, agents, and emerging technologies.

    githubResourcemeasured growth
    1GitHub starsstable
  9. 9
    DormantOpen source ↗

    Interactive roadmap for becoming an Agentic AI Engineer — 11 stages from Python & FastAPI to multi-agent systems, MCP, RAG, Docker, and context engineering

    githubResourcemeasured growth
    1GitHub starsstable
  10. 10
    ActiveOpen source ↗

    Detect underpriced products by scraping deals and using AI models to estimate fair prices for profit opportunity identification.

    githubResourcemeasured growth
    1GitHub starsstable
  11. 11
    DormantOpen source ↗

    50+ AI agent apps you can actually run — MCP, A2A, LangGraph, SAP, RAG, and multi-agent patterns

    githubResourcemeasured growth
    0GitHub starsstable