// rag · arc53/DocsGPT

DocsGPT

DocsGPT é um projeto de RAG e conhecimento de código aberto de arc53 (arc53/DocsGPT no GitHub). Tem 18.316 estrelas no GitHub e 2.189 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 8 de outubro de 2026.

A private AI platform for agents, assistants and enterprise search over your documents

★ 18,3 mil estrelas⑂ 2,2 mil forksMITatualizado out 2026

Ver no GitHub ↗Official site ↗

▦ visual: o README deste projeto não inclui nenhuma captura incorporável,
então aqui vai um marcador. O guia abaixo está completo mesmo assim.

// dados do projeto

Dados do projeto

Repositório: arc53/DocsGPT
Estrelas no GitHub: 18.316
Forks: 2.189
Licença: MIT
Última atualização no GitHub: 8 de outubro de 2026
Categoria: RAG e conhecimento
Tipo de ficha: Guia de instalação completo
Site oficial: Official site

// como funciona

Como funciona

Gather your knowledge sources
Decide which documents or connected services the assistant should answer from.
Get DocsGPT
Use the one-command installer, or clone the repo for Docker Compose or source deployment.
Configure models and sources
Connect your model provider (or a local model) and sync your first knowledge source.
Build your first agent
Create an agent with its own prompt, knowledge and tools, and ask it a question with sources.

// recursos

Por que as pessoas gostam tanto

Agents with deep research

Agents have their own prompt, knowledge, tools and model, plus a research mode for multi-step answers.

Visual workflow builder

Chain agents, conditions, state and sandboxed code in a drag-and-drop builder.

Knowledge from anywhere

Ingests PDFs, Office files, web pages and audio, kept in sync from Drive, SharePoint, Confluence, GitHub, S3 and more, with GraphRAG.

Answers with sources

Every answer cites the documents it came from, so users can verify.

Tools, actions and guardrails

Web search, REST APIs, MCP servers and sandboxed code as tools; guardrails flag or block PII, secrets and prompt injection.

Any model

Use OpenAI, Anthropic, Google, Groq, OpenRouter, or local models via Ollama, vLLM and other OpenAI-compatible servers.

// execute você mesmo

Execute você mesmo

Clone the repository
Get the source code from GitHub and enter the project directory.
```
git clone https://github.com/arc53/DocsGPT.git
cd DocsGPT
```
Install in one command
The README's quickstart uses the project's installer script to set up the stack.
```
# Run the one-command install from the README quickstart
```
Manage the stack
After install, the docsgpt command manages status, logs, upgrades and backups.
```
docsgpt status
docsgpt logs
docsgpt upgrade
```

// casos de uso

O que você pode criar

Build a support assistant that answers only from your product docs, with citations
Give a team enterprise search across Drive, Confluence and GitHub content
Automate a weekly research brief with the deep-research mode and schedules
Deploy a private ChatGPT alternative for a regulated team using local models

// perguntas frequentes

Perguntas frequentes

Who maintains this project?

It is maintained by arc53 and contributors on GitHub; a hosted cloud version is offered at app.docsgpt.cloud.

Is it free to use?

Yes - DocsGPT is MIT licensed and free to self-host. The hosted cloud is a separate service.

Does it need a paid API key?

You bring a model: cloud providers need your API keys, or you can run fully local models through Ollama or vLLM at no per-token cost.

How does it compare to alternatives?

Compared with plain RAG frameworks like LlamaIndex, DocsGPT is a complete private platform - agent builder, workflows, connectors, guardrails and UI - rather than a library you assemble yourself.

How do I get started?

Os outros projetos de RAG e conhecimento com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se DocsGPT não for o ideal para você.

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// mais em rag

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Baixe o DocsGPT

Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.

Ver no GitHub ↗← Mais ferramentas de RAG e conhecimento