O DeepSearcher combina LLMs de ponta (OpenAI o1, o3-mini, DeepSeek, Grok 3, Claude 4 Sonnet, Llama 4, QwQ etc.) com bancos de dados vetoriais (Milvus, Zilliz Cloud etc.) para executar pesquisa, avaliação e raciocínio com base em dados privados, fornecendo respostas altamente precisas e relatórios abrangentes.Ideal para: gestão de conhecimento corporativo, sistemas inteligentes de perguntas e respostas e cenários de recuperação de informações.
Registre-se e faça login na JieKou.AI. Ao se registrar, insira o código de convite【YGHNZ0】para receber um bônus de registro de $2.Abra a página de gerenciamento【API key】, clique no botão de adicionar, insira um nome personalizado para a chave e gere a chave de API.
!Atenção: a chave é armazenada criptografada no servidor e não poderá ser visualizada novamente após a criação. Guarde-a em um local seguro; se ela for perdida, será necessário excluí-la no console e criar uma nova chave.
3. Modificar o código de exemplo para integrar os modelos da JieKou.AI
O código de exemplo está localizado em examples/basic_example.py. Você pode usar este exemplo para executar o DeepSearcher.(1) Configurar a API KeyDefina a API Key que você acabou de obter na variável de ambiente local JIEKOU_API_KEY.
export JIEKOU_API_KEY="YOUR_JIEKOU_API_KEY"
(2) Configurar os modelos de LLM e EmbeddingAdicione o código após a linha config = Configuration() no código de exemplo
(3) Configurar o caminho do arquivo a ser recuperado e o promptCarregue o arquivo a partir do caminho local especificado e armazene seu conteúdo na coleção. Modifique o código onde load_from_local_files é chamado. Você pode usar o arquivo examples/data/WhatisMilvus.pdf fornecido pelo projeto ou usar seu próprio arquivo. Se quiser excluir e recriar essa coleção durante a execução, defina force_new_collection como True
load_from_local_files( paths_or_directory=os.path.join(current_dir, "data/WhatisMilvus.pdf"), collection_name="milvus_docs", collection_description="All Milvus Documents", force_new_collection=True, # If you want to drop origin collection and create a new collection every time,set force_new_collection to True)question="Write a report comparing Milvus with other vector databases."
(4) Execute o código de exemplo no diretório raiz do projeto:
python examples/basic_example.py
Última modificação em 10 de junho de 2026
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informações.`]}),`\n`,_jsx(OptimizedImage,{src:`https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/deepsearch_1.png?fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=3bfbe56e6997032d94c0e3c37aa33702`,alt:`Imagem de exemplo 1`,\"data-og-width\":`1960`,width:`1960`,\"data-og-height\":`1636`,height:`1636`,\"data-path\":`images/deepsearch_1.png`,\"data-optimize\":`true`,\"data-opv\":`3`,srcset:`https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/deepsearch_1.png?w=280\u0026fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=9dc7caaf74881e69fd33db1a4e1eca33 280w, https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/deepsearch_1.png?w=560\u0026fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=61b67355b08749bad26d17702cd6c1f9 560w, https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/deepsearch_1.png?w=840\u0026fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=93ba0b254161bf2f2fb56cf4f8d79f48 840w, 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Obter as informações de configuração da JieKou.AI`}),`\n`,_jsx(Heading,{level:`3`,id:`1-registrar-se-e-obter-uma-chave-de-api`,children:`(1) Registrar-se e obter uma chave de API`}),`\n`,_jsx(_components.p,{children:`Registre-se e faça login na JieKou.AI. Ao se registrar, insira o código de convite【YGHNZ0】para receber um bônus de registro de $2.`}),`\n`,_jsx(OptimizedImage,{src:`https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/common_jiekou_homepage.png?fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=ca878d25d643316d41367137b72b4a28`,alt:`Imagem de exemplo 2`,\"data-og-width\":`1920`,width:`1920`,\"data-og-height\":`816`,height:`816`,\"data-path\":`images/common_jiekou_homepage.png`,\"data-optimize\":`true`,\"data-opv\":`3`,srcset:`https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/common_jiekou_homepage.png?w=280\u0026fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=c096ae1da656b8c862609d5da4d865c0 280w, https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/common_jiekou_homepage.png?w=560\u0026fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=fd382fda38265545b01a265e79872846 560w, 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API.`}),`\n`,_jsx(OptimizedImage,{src:`https://mintcdn.com/jiekou/jZWTU8DENg390ghC/images/common_apikey_menu.png?fit=max\u0026auto=format\u0026n=jZWTU8DENg390ghC\u0026q=85\u0026s=c9e84d535312e3f853410855663fd2e7`,alt:`Imagem de exemplo 3`,\"data-og-width\":`1893`,width:`1893`,\"data-og-height\":`1056`,height:`1056`,\"data-path\":`images/common_apikey_menu.png`,\"data-optimize\":`true`,\"data-opv\":`3`,srcset:`https://mintcdn.com/jiekou/jZWTU8DENg390ghC/images/common_apikey_menu.png?w=280\u0026fit=max\u0026auto=format\u0026n=jZWTU8DENg390ghC\u0026q=85\u0026s=5ceb4753969c68eca81715725c672614 280w, https://mintcdn.com/jiekou/jZWTU8DENg390ghC/images/common_apikey_menu.png?w=560\u0026fit=max\u0026auto=format\u0026n=jZWTU8DENg390ghC\u0026q=85\u0026s=788c5fecd67d38362677c17ffcc4bd6b 560w, https://mintcdn.com/jiekou/jZWTU8DENg390ghC/images/common_apikey_menu.png?w=840\u0026fit=max\u0026auto=format\u0026n=jZWTU8DENg390ghC\u0026q=85\u0026s=5019b93e87178e95ef47449f287bff6b 840w, 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4`,\"data-og-width\":`1869`,width:`1869`,\"data-og-height\":`936`,height:`936`,\"data-path\":`images/deepsearch_4.png`,\"data-optimize\":`true`,\"data-opv\":`3`,srcset:`https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/deepsearch_4.png?w=280\u0026fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=7c86965c928588d096229ce8f9012c53 280w, https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/deepsearch_4.png?w=560\u0026fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=6666d8075fe5fc10ccce2e707e00aafd 560w, https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/deepsearch_4.png?w=840\u0026fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=2de6e43d6b6178acbf763de1057e9e95 840w, https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/deepsearch_4.png?w=1100\u0026fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=614c177cf5f696a76a104a43d7619e0e 1100w, https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/deepsearch_4.png?w=1650\u0026fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=8f5f1f31dd5eca9dcfdbe854e13de716 1650w, https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/deepsearch_4.png?w=2500\u0026fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=470afca8c1232b8cabad7851adb8a51c 2500w`}),`\n`,_jsx(Heading,{level:`3`,id:`2-gerar-e-salvar-a-chave-de-api`,children:`(2) Gerar e salvar a chave de API`}),`\n`,_jsx(_components.p,{children:`!Atenção: a chave é armazenada criptografada no servidor e não poderá ser visualizada novamente após a criação. Guarde-a em um local seguro; se ela for perdida, será necessário excluí-la no console e criar uma nova chave.`}),`\n`,_jsx(OptimizedImage,{src:`https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/common_apikey_save.png?fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=30053211224f16298aefbe8602e71089`,alt:`Imagem de exemplo 5`,\"data-og-width\":`1909`,width:`1909`,\"data-og-height\":`906`,height:`906`,\"data-path\":`images/common_apikey_save.png`,\"data-optimize\":`true`,\"data-opv\":`3`,srcset:`https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/common_apikey_save.png?w=280\u0026fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=e00d49076738f1f49932d65ad63dae89 280w, https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/common_apikey_save.png?w=560\u0026fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=75e94eb42a7908f2447d046ec787a169 560w, https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/common_apikey_save.png?w=840\u0026fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=98f0d28470f57642346820484f396dd6 840w, https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/common_apikey_save.png?w=1100\u0026fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=3b24e7f8dccec9f4332c94bec5e8ae65 1100w, https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/common_apikey_save.png?w=1650\u0026fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=f7d9d3807ae7acb4f29a37b3d93da07f 1650w, https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/common_apikey_save.png?w=2500\u0026fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=95e16ca97be77d0f9021b2c9379fba2f 2500w`}),`\n`,_jsx(Heading,{level:`3`,id:`3-obter-o-id-do-modelo-que-será-usado`,children:`(3) Obter o ID do modelo que será usado`}),`\n`,_jsx(_components.p,{children:`No Model Square da JieKou.AI, encontre o modelo que deseja usar e copie o ID do modelo e a URL base.`}),`\n`,_jsx(OptimizedImage,{src:`https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/common_model_square-gemini-3-pro.png?fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=29c3faf0dd833d9b8bbee105c96c80f1`,alt:`Imagem de exemplo 6`,\"data-og-width\":`1894`,width:`1894`,\"data-og-height\":`887`,height:`887`,\"data-path\":`images/common_model_square-gemini-3-pro.png`,\"data-optimize\":`true`,\"data-opv\":`3`,srcset:`https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/common_model_square-gemini-3-pro.png?w=280\u0026fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=517d8efab995c8bce423f689bc3d387b 280w, https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/common_model_square-gemini-3-pro.png?w=560\u0026fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=89532669305d19d9568d1d322b27dd70 560w, https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/common_model_square-gemini-3-pro.png?w=840\u0026fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=87aeabc880cef2f0a2a5602b6c6b9315 840w, https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/common_model_square-gemini-3-pro.png?w=1100\u0026fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=d1be176cd1ecdd229af0f474e0a9439d 1100w, https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/common_model_square-gemini-3-pro.png?w=1650\u0026fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=7fef709f3a118f5da26a760b992adf8d 1650w, https://mintcdn.com/jiekou/plu1OZSHwjdzCc5v/images/common_model_square-gemini-3-pro.png?w=2500\u0026fit=max\u0026auto=format\u0026n=plu1OZSHwjdzCc5v\u0026q=85\u0026s=cfc441137129ef83a8b007d29b465a13 2500w`}),`\n`,_jsxs(_components.ul,{children:[`\n`,_jsx(_components.li,{children:`Gemini-3-pro-preview`}),`\n`,_jsx(_components.li,{children:`Gemini-2.5-pro`}),`\n`,_jsx(_components.li,{children:`Claude-sonnet-4-5`}),`\n`,_jsx(_components.li,{children:`Gpt-5.1`}),`\n`,_jsx(_components.li,{children:`Gpt-4o`}),`\n`]}),`\n`,_jsxs(_components.p,{children:[`Para outros IDs de modelo, contexto máximo e preços, consulte: `,_jsx(_components.a,{href:`https://jiekou.ai/models-console/library?auth_res=success\u0026is_reg=false`,children:`Model Square`})]}),`\n`,_jsx(Heading,{level:`2`,id:`2-instalar-o-deepsearcher`,children:`2. Instalar o DeepSearcher`}),`\n`,_jsxs(_components.p,{children:[`Consulte o guia de instalação detalhado em: `,_jsx(_components.a,{href:`https://github.com/zilliztech/deep-searcher`,children:`https://github.com/zilliztech/deep-searcher`})]}),`\n`,_jsx(_components.p,{children:`(1) Clonar o repositório`}),`\n`,_jsx(CodeBlock,{numberOfLines:`3`,language:`text`,children:_jsx(_components.pre,{className:`shiki shiki-themes github-light-default dark-plus`,style:{backgroundColor:`#ffffff`,\"--shiki-dark-bg\":`#0B0C0E`,color:`#1f2328`,\"--shiki-dark\":`#D4D4D4`},language:`text`,children:_jsxs(_components.code,{language:`text`,numberOfLines:`3`,children:[_jsx(_components.span,{className:`line`,children:_jsx(_components.span,{children:`git clone https://github.com/zilliztech/deep-searcher.git`})}),`\n`,_jsx(_components.span,{className:`line`,children:_jsx(_components.span,{children:`cd deep-searcher`})}),`\n`,_jsx(_components.span,{className:`line`,children:_jsx(_components.span,{})})]})})}),`\n`,_jsx(_components.p,{children:`(2) Criar um ambiente virtual e ativá-lo`}),`\n`,_jsx(CodeBlock,{numberOfLines:`4`,language:`text`,children:_jsx(_components.pre,{className:`shiki shiki-themes github-light-default dark-plus`,style:{backgroundColor:`#ffffff`,\"--shiki-dark-bg\":`#0B0C0E`,color:`#1f2328`,\"--shiki-dark\":`#D4D4D4`},language:`text`,children:_jsxs(_components.code,{language:`text`,numberOfLines:`4`,children:[_jsx(_components.span,{className:`line`,children:_jsx(_components.span,{children:`#MAKE SURE the python version is greater than or equal to 3.10`})}),`\n`,_jsx(_components.span,{className:`line`,children:_jsx(_components.span,{children:`python3 -m venv .venv`})}),`\n`,_jsx(_components.span,{className:`line`,children:_jsx(_components.span,{children:`source .venv/bin/activate`})}),`\n`,_jsx(_components.span,{className:`line`,children:_jsx(_components.span,{})})]})})}),`\n`,_jsx(_components.p,{children:`(3) Instalar as dependências`}),`\n`,_jsx(CodeBlock,{numberOfLines:`2`,language:`text`,children:_jsx(_components.pre,{className:`shiki shiki-themes github-light-default dark-plus`,style:{backgroundColor:`#ffffff`,\"--shiki-dark-bg\":`#0B0C0E`,color:`#1f2328`,\"--shiki-dark\":`#D4D4D4`},language:`text`,children:_jsxs(_components.code,{language:`text`,numberOfLines:`2`,children:[_jsx(_components.span,{className:`line`,children:_jsx(_components.span,{children:`pip install -e .`})}),`\n`,_jsx(_components.span,{className:`line`,children:_jsx(_components.span,{})})]})})}),`\n`,_jsx(Heading,{level:`2`,id:`3-modificar-o-código-de-exemplo-para-integrar-os-modelos-da-jiekou-ai`,children:`3. Modificar o código de exemplo para integrar os modelos da JieKou.AI`}),`\n`,_jsxs(_components.p,{children:[`O código de exemplo está localizado em `,_jsx(_components.code,{children:`examples/basic_example.py`}),`. Você pode usar este exemplo para executar o DeepSearcher.`]}),`\n`,_jsx(_components.p,{children:`(1) Configurar a API Key`}),`\n`,_jsxs(_components.p,{children:[`Defina a API Key que você acabou de obter na variável de ambiente local `,_jsx(_components.code,{children:`JIEKOU_API_KEY`}),`.`]}),`\n`,_jsx(CodeBlock,{numberOfLines:`2`,language:`text`,children:_jsx(_components.pre,{className:`shiki shiki-themes github-light-default dark-plus`,style:{backgroundColor:`#ffffff`,\"--shiki-dark-bg\":`#0B0C0E`,color:`#1f2328`,\"--shiki-dark\":`#D4D4D4`},language:`text`,children:_jsxs(_components.code,{language:`text`,numberOfLines:`2`,children:[_jsx(_components.span,{className:`line`,children:_jsx(_components.span,{children:`export JIEKOU_API_KEY=\"YOUR_JIEKOU_API_KEY\"`})}),`\n`,_jsx(_components.span,{className:`line`,children:_jsx(_components.span,{})})]})})}),`\n`,_jsx(_components.p,{children:`(2) Configurar os modelos de LLM e Embedding`}),`\n`,_jsxs(_components.p,{children:[`Adicione o código após a linha `,_jsx(_components.code,{children:`config = Configuration()`}),` no código de exemplo`]}),`\n`,_jsx(CodeBlock,{numberOfLines:`3`,language:`text`,children:_jsx(_components.pre,{className:`shiki shiki-themes github-light-default dark-plus`,style:{backgroundColor:`#ffffff`,\"--shiki-dark-bg\":`#0B0C0E`,color:`#1f2328`,\"--shiki-dark\":`#D4D4D4`},language:`text`,children:_jsxs(_components.code,{language:`text`,numberOfLines:`3`,children:[_jsx(_components.span,{className:`line`,children:_jsx(_components.span,{children:`config.set_provider_config(\"llm\", \"JiekouAI\", {\"model\": \"claude-sonnet-4-5-20250929\"})`})}),`\n`,_jsx(_components.span,{className:`line`,children:_jsx(_components.span,{children:`config.set_provider_config(\"embedding\", \"JiekouAIEmbedding\", {\"model\": \"qwen/qwen3-embedding-8b\"})`})}),`\n`,_jsx(_components.span,{className:`line`,children:_jsx(_components.span,{})})]})})}),`\n`,_jsx(_components.p,{children:`(3) Configurar o caminho do arquivo a ser recuperado e o prompt`}),`\n`,_jsxs(_components.p,{children:[`Carregue o arquivo a partir do caminho local especificado e armazene seu conteúdo na coleção. Modifique o código onde `,_jsx(_components.code,{children:`load_from_local_files`}),` é chamado. Você pode usar o arquivo `,_jsx(_components.code,{children:`examples/data/WhatisMilvus.pdf`}),` fornecido pelo projeto ou usar seu próprio arquivo. 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