// rag · VectifyAI/OpenKB

OpenKB

OpenKB é um projeto de RAG e conhecimento de código aberto de VectifyAI (VectifyAI/OpenKB no GitHub). Tem 4.759 estrelas no GitHub e 495 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 22 de julho de 2026.

OpenKB compiles your documents into a persistent, interlinked wiki knowledge base — no vector DB

★ 4,8 mil estrelas⑂ 495 forksApache-2.0atualizado jul 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: VectifyAI/OpenKB
Estrelas no GitHub: 4.759
Forks: 495
Licença: Apache-2.0
Última atualização no GitHub: 22 de julho de 2026
Categoria: RAG e conhecimento
Tipo de ficha: Guia de instalação completo
Site oficial: Official site

// como funciona

Como funciona

Gather your documents
Collect the papers, docs, or URLs you want compiled into one knowledge base.
Install and initialize
Install OpenKB from PyPI, create a folder, and run the init command, choosing your LLM model.
Add documents
Add files, a whole directory, or a URL; OpenKB compiles them into wiki pages with cross-links.
Query and chat
Ask questions with cited answers, chat interactively, or generate outputs like skills and slide decks.

// recursos

Por que as pessoas gostam tanto

Compiled wiki, not chunk RAG

Documents become summary, concept, and entity pages with cross-references that accumulate over time; contradictions get flagged.

Vectorless long-document retrieval

PageIndex tree indexing handles long PDFs by reasoning over a hierarchical index — no vector database required.

Broad format support

PDF, Word, Markdown, PowerPoint, HTML, Excel, CSV, text, and URLs, with native handling of figures, tables, and images.

Query and chat with sessions

One-off cited answers or multi-turn chat over the wiki, with persisted sessions you can resume.

Skill Factory and generators

Distill redistributable agent skills from the wiki, visualize an interactive knowledge graph, or generate single-file HTML slide decks.

Obsidian-compatible and OKF-ready

The wiki is plain Markdown with wikilinks that opens in Obsidian, and pages follow Google's Open Knowledge Format specification.

// execute você mesmo

Execute você mesmo

Clone the repository
Clone for a source install, or simply install from PyPI in the next step.
```
git clone https://github.com/VectifyAI/OpenKB.git
cd OpenKB
```
Install OpenKB
Install the package (or `pip install -e .` from the clone for development).
```
pip install openkb
```
Initialize and query
Create a knowledge base, add a document, and ask your first question (set your LLM API key in .env first).
```
openkb init
openkb add paper.pdf
openkb query "What are the main findings?"
```

// casos de uso

O que você pode criar

Turn a folder of research papers into a searchable, cross-linked wiki
Maintain a team knowledge base that stays current as new documents are added
Ask cited questions over very long PDFs that exceed model context windows
Distill a book's worth of material into a portable agent skill

// perguntas frequentes

Perguntas frequentes

Who maintains OpenKB?

VectifyAI, the team behind PageIndex; OpenKB is powered by PageIndex's open-source vectorless retrieval.

Is OpenKB free?

Yes, it is Apache-2.0 licensed. You pay only for the LLM API usage of the provider you configure (OpenAI, Claude, Gemini, and others via LiteLLM); some subscription providers can authenticate via OAuth instead of a key.

Does it need a paid API key?

It needs an LLM — usually your own API key set in .env. PageIndex runs locally by default; the optional PageIndex Cloud features need a separate key.

How does it compare to traditional RAG tools?

RAG rediscovers knowledge from chunks on every query and nothing accumulates. OpenKB compiles knowledge once into a persistent wiki with cross-references already built, then keeps it current as documents are added.

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 OpenKB não for o ideal para você.

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// mais em rag

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Baixe o OpenKB

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