Add PDFs and documents to your local Library, then ask questions with citations back to source chunks. Use Orkas-managed official models or connect your own provider.Adicione PDFs à Biblioteca local e faça perguntas com citações dos trechos de origem. Use modelos oficiais gerenciados pelo Orkas ou conecte seu provedor. 把 PDF 和文档加入本地资料库,即可基于原文提问并查看出处引用。可使用 Orkas 托管的官方模型或连接自有服务商。 PDF や文書をローカル Library に追加し、出典チャンクへの引用付きで質問できます。Orkas 管理の公式モデルまたは自分のプロバイダーを利用できます。
Key takeaways核心要点要点Pontos-chavePoint Orkas at the files you already have — PDFs, papers, manuals, contracts — and ask questions across all of them at once.
Add a stack of PDFs to your Library and get cited answers that draw from every file at once.
Ask in plain language; semantic search surfaces the relevant passage and links back to the exact source chunk.
Compare findings across several documents, surface agreements and gaps, and draft a literature review with sources.
Get answers that quote the document they came from — extracted straight from your PDFs and DOCX files.
You ask the question; Orkas searches your Library and grounds every claim in your files — your documents stay on your machine by default.
Drop PDFs and files into your local Library.
“Find the clause”, “summarize these papers”, “what do they say about X”.
Every claim links back to the source chunk and file.
Follow up across the same Library — the index stays on your machine.
Source files and the vector index stay local by default; the selected model service receives the data needed for its calls.
Answers cite the source chunk they came from, so you can verify before you rely on it.
Official models use Orkas services; own-provider model calls go direct.
See security →Yes. Add PDFs and documents to your local Library; Orkas searches them and answers with citations to source chunks. Use Orkas-managed official models or connect your own provider.Sim. Adicione PDFs à Biblioteca local; o Orkas pesquisa e responde com citações. Use modelos oficiais gerenciados ou seu provedor. 可以。把 PDF 加入本地资料库,Orkas 会检索并给出出处引用。可使用托管官方模型或连接自有服务商。 はい。PDF をローカル Library に追加し、出典引用付きで回答できます。公式マネージドモデルまたは自分のプロバイダーを利用できます。
By default the source files and vector index stay on your machine. Official models use Orkas services; own-provider model calls go direct. Optional sync stores the data you choose to sync on Orkas servers, and the free edition sends limited usage metadata, not your content.Por padrão, arquivos e índice vetorial ficam na sua máquina. Modelos oficiais usam os serviços Orkas; chamadas ao seu provedor vão direto. A sincronização opcional armazena os dados escolhidos no Orkas, e a edição gratuita envia metadados limitados de uso, não seu conteúdo. 默认情况下,原始文件和向量索引留在本机。官方模型使用 Orkas 服务;自有服务商调用会直连。可选同步会把你选择的数据存到 Orkas,基础版发送有限的使用元数据,不含你的内容。 既定ではソースファイルとベクトルインデックスはマシン上に残ります。公式モデルは Orkas サービス、自分のプロバイダーへの呼び出しは直接送信されます。任意同期は選択したデータを Orkas に保存し、無料版は限定的な利用メタデータを送信します。
Yes. Answers are grounded in your documents and cite the source chunks the search hit, so you can open the original passage and verify it before you rely on it.Sim. As respostas são baseadas em seus documentos e citam os trechos de origem encontrados na pesquisa, para que você possa abrir a passagem original e verificá-la antes de confiar nela. 是的。答案基于你自己的文档,并引用检索命中的出处片段,你可以打开原始段落、在依赖它之前自己核实。 はい。回答はあなたの文書に基づいており、検索でヒットした出典チャンクを引用するため、それに頼る前に元の箇所を開いて確認できます。
Yes. Your source files and local Library stay on your machine by default. Use Orkas-managed official models, or connect your own provider; own-provider model calls go direct.Sim. Seus arquivos e a Biblioteca local ficam na sua máquina por padrão. Use modelos oficiais gerenciados pelo Orkas ou conecte seu provedor; chamadas ao seu provedor vão direto. 可以。原始文件和本地资料库默认留在本机。可使用 Orkas 托管的官方模型或连接自有服务商;自有服务商调用会直连。 はい。ソースファイルとローカル Library は既定でマシン上に残ります。Orkas 管理の公式モデル、または自分のプロバイダーを利用でき、後者の呼び出しは直接送信されます。
Doing deep literature work? See the For Researchers use case. Need the privacy angle first? Read Private AI Assistant.