rag-setup
Generate RAG retrieval-augmented generation systems
Pacote de plugins · de barnburner121
Resumo
rag-setup é um pacote de plugins para ferramentas de programação com IA publicado por barnburner121. Marketplaces que lemos e que o listam: 1 (Community GitHub marketplaces). Vimos pela primeira vez em 2026-10-14 e não registramos mudanças desde então. Conforme nossa passagem pelos marketplaces em 2026-10-15.
O que pede
- Roda na sua máquina
Nenhum dos marketplaces que lemos publica as ferramentas ou as configurações que ele pede.
O que declara, pede e executa, por completo
Instale apenas plugins de desenvolvedores em quem você confia. Mostramos o que os marketplaces publicam e não testamos plugins.
Funciona com
- Claude Code
Pelos marketplaces que o listam e pelo transporte MCP que declara, conforme cada cliente documenta. Não testamos plugins.
Conectar
Comandos e configurações gerados apenas a partir do que os marketplaces declaram. Não os executamos por você e não testamos plugins.
Como plugin do Claude Code
Gerado a partir do que Community GitHub marketplaces declara.
/plugin marketplace add barnburner121/claude-plugin-marketplace
/plugin install rag-setup@barnburner121-plugins
Onde está publicado
| Marketplace | Status | Versão | Números | Verificado | Visto pela primeira vez |
|---|---|---|---|---|---|
| Marketplace da comunidade barnburner121/claude-plugin-marketplace (Abrir o código no GitHub) | Listado | 1.0.0 | Forks (GitHub): 0 Estrelas (GitHub): 3 |
Sem marcação |
Cada número é do próprio marketplace e nunca é somado entre marketplaces. Um marketplace que não publica números não mostra nenhum: sem número não é zero.
Listado em um marketplace da comunidade
| Marketplace | Repositório | Estrelas (GitHub) |
|---|---|---|
| barnburner121-plugins | barnburner121/claude-plugin-marketplace | 3 |
O que o pacote contém
Conforme publicado em Community GitHub marketplaces.
Servidores MCP: 1
plugin-hub
Skills: 1
rag
O que mudou
- Passou a ser um produto que acompanhamos
- Community GitHub marketplaces: apareceu
Possivelmente o mesmo plugin
Listagens que compartilham um sinal com esta, mas não o bastante para tratá-las como o mesmo produto.
Plugins semelhantes
Produtos cujos próprios nomes, descrições, ferramentas e skills são os mais próximos deste pelo significado, em todos os marketplaces que lemos. A proximidade é ordenada apenas dentro desta lista.
-
[STUB] RAG pipeline development with Vertex AI RAG Engine
-
Build a RAG pipeline station by station and search your own documents with cited answers.
-
LLM application development, prompt engineering, and AI assistant optimization
-
LLM application development with LangGraph, RAG systems, vector search, and AI agent architectures for Claude 4.6 and GPT-5.2
-
RAG system design, implementation, and optimization - chunking strategies, embedding models (Voyage 4 family, OpenAI v3, Cohere embed-v4, Gemini, BGE-M3, NV-Embed-v2, Nomic MoE…
-
ai
Build production-grade AI agents with Pydantic AI — tools, capabilities, structured output, streaming, and testing patterns — and port existing agents over from LangChain, the…
-
MCP RAG: index PDFs, repos, YouTube, Discord, text; optional YouTube vision; query with citations.
-
Local-first RAG engine with MCP server for AI agent integration.
-
Generate QA datasets & evaluate RAG systems with failure diagnosis. Any LLM.
-
Turn any document into a production-ready RAG dataset from Claude, Cursor, or any MCP host.
Plugins semelhantes por marketplace
A mesma pergunta feita a cada marketplace separadamente: existe lá um equivalente deste plugin?
Listado em Claude Code: claude-plugins-community (5)
-
MCP RAG: index PDFs, repos, YouTube, Discord, text; optional YouTube vision; query with citations.
-
Generate ready-to-paste Claude Code prompts with the right agent, orchestration pattern, and safety rails. Orchestrator synthesises patterns from 6 open-source projects into a…
-
Trace inspection, failure diagnosis, and replay-driven iteration for AI-powered code. Instrument your LLM calls, build regression datasets, and measure improvements — all inside…
-
Build and maintain an LLM-curated personal knowledge base in your project. Implements Andrej Karpathy's LLM Wiki pattern with sharded indexes, atomic pages, BM25 search, and a…
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
Listado em Claude Code: claude-plugins-official (5)
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
-
Write accurate Pydantic AI code from the start. Up-to-date patterns, decision trees, and common gotchas for agents, tools, structured output, streaming, and multi-agent apps.
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
Build, train, evaluate, and use open source AI models, datasets, and spaces.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
Listado em Claude: knowledge-work-plugins (5)
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Agent skills for Qdrant vector search covering scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across…
Listado em Codex: openai-curated (openai/plugins) (5)
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
Build web apps with frontend asset design, browser testing, UI components, payments, and database guidance.
Listado em Community GitHub marketplaces (5)
-
[STUB] RAG pipeline development with Vertex AI RAG Engine
-
LLM application development, prompt engineering, and AI assistant optimization
-
LLM application development with LangGraph, RAG systems, vector search, and AI agent architectures for Claude 4.6 and GPT-5.2
-
RAG system design, implementation, and optimization - chunking strategies, embedding models (Voyage 4 family, OpenAI v3, Cohere embed-v4, Gemini, BGE-M3, NV-Embed-v2, Nomic MoE…
-
ai
Build production-grade AI agents with Pydantic AI — tools, capabilities, structured output, streaming, and testing patterns — and port existing agents over from LangChain, the…
Listado em Copilot CLI: github/awesome-copilot (5)
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Model, visualize, and deploy applications with Radius from the GitHub Copilot app and CLI.
-
Goal-driven task orchestration with independent verification. Interviews the user to define a clear goal, then loops between a Builder subagent (does the work) and an Inspector…
-
Meta prompts that help you discover and generate curated GitHub Copilot agents, instructions, prompts, and skills.
Listado em Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
Complete bundle: all Microsoft Skills for Fabric for developers and consumers.
Listado em Cursor: cursor/plugins (5)
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Generate presentations, documents, and webpages.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Build apps, scripts, and automations with the TypeScript SDK.
Listado em Docker MCP Catalog (5)
-
Production-ready RAG service to search and retrieve data from your documents.
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Provides tools to search and retrieve Google Gemini API documentation.
-
Discovers and retrieves llms.txt from websites.
Listado em Official MCP Registry (5)
-
Build a RAG pipeline station by station and search your own documents with cited answers.
-
MCP RAG: index PDFs, repos, YouTube, Discord, text; optional YouTube vision; query with citations.
-
Local-first RAG engine with MCP server for AI agent integration.
-
Generate QA datasets & evaluate RAG systems with failure diagnosis. Any LLM.
-
Turn any document into a production-ready RAG dataset from Claude, Cursor, or any MCP host.
Encontrados pelo significado, não por código ou repositório em comum: plugins semelhantes continuam sendo produtos distintos, e isto não é uma avaliação nem uma recomendação.
Quer esta marca no seu plugin em nosso catálogo?
Prove que o mantém com um arquivo no repositório, um arquivo no seu domínio ou um registro DNS, e você poderá mostrar esta marca na ficha, com banners ao vivo para o seu site e o README. Como funciona a verificação
Você também recebe alertas quando um marketplace o publica, o remove, muda a marca de verificado ou o que ele pede, e o endpoint remoto passa a ser monitorado como um serviço web.
Dados de Community GitHub marketplaces. Os números vêm das nossas próprias passagens regulares pelos marketplaces, última leitura em . Não publicamos dados de contato dos editores de plugins.