Registrieren Sie sich bei JieKou.AI und melden Sie sich an. Wenn Sie bei der Registrierung den Einladungscode【YGHNZ0】eingeben, erhalten Sie eine Registrierungsprämie von $2.Öffnen Sie die Verwaltungsseite【API key】, klicken Sie auf die Schaltfläche zum Hinzufügen, geben Sie einen benutzerdefinierten Schlüsselnamen ein und generieren Sie den API-Schlüssel.
!Hinweis: Der Schlüssel wird serverseitig verschlüsselt gespeichert und kann nach der Erstellung nicht erneut angezeigt werden. Bitte bewahren Sie den Schlüssel sicher auf. Falls er verloren geht, müssen Sie ihn in der Konsole löschen und einen neuen Schlüssel erstellen.
3. Beispielcode ändern, um JieKou.AI-Modelle anzubinden
Der Beispielcode befindet sich unter examples/basic_example.py. Sie können dieses Beispiel verwenden, um DeepSearcher auszuführen.(1) API Key konfigurierenSetzen Sie den soeben erhaltenen API Key in der lokalen Umgebungsvariable JIEKOU_API_KEY.
export JIEKOU_API_KEY="YOUR_JIEKOU_API_KEY"
(2) LLM- und Embedding-Modell konfigurierenFügen Sie im Beispielcode nach der Zeile config = Configuration() den folgenden Code hinzu:
(3) Dateipfad und prompt für die Suche konfigurierenLaden Sie Dateien aus dem angegebenen lokalen Pfad und speichern Sie deren Inhalt in der Sammlung. Ändern Sie den Code an der Stelle, an der load_from_local_files aufgerufen wird. Sie können die vom Projekt bereitgestellte Datei examples/data/WhatisMilvus.pdf verwenden oder Ihre eigene Datei nutzen. Wenn die Sammlung bei der Ausführung gelöscht und neu erstellt werden soll, setzen Sie force_new_collection auf 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) Beispielcode ausführenFühren Sie im Stammverzeichnis des Projekts aus:
python examples/basic_example.py
Zuletzt geändert am 10. Juni 2026
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Bitte bewahren Sie den Schlüssel sicher auf. 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DeepSearcher installieren`}),`\n`,_jsxs(_components.p,{children:[`Eine detaillierte Installationsanleitung finden Sie unter: `,_jsx(_components.a,{href:`https://github.com/zilliztech/deep-searcher`,children:`https://github.com/zilliztech/deep-searcher`})]}),`\n`,_jsx(_components.p,{children:`(1) Repository klonen`}),`\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) Eine virtuelle Umgebung erstellen und aktivieren`}),`\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) Abhängigkeiten installieren`}),`\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-beispielcode-ändern-um-jiekou-ai-modelle-anzubinden`,children:`3. Beispielcode ändern, um JieKou.AI-Modelle anzubinden`}),`\n`,_jsxs(_components.p,{children:[`Der Beispielcode befindet sich unter `,_jsx(_components.code,{children:`examples/basic_example.py`}),`. Sie können dieses Beispiel verwenden, um DeepSearcher auszuführen.`]}),`\n`,_jsx(_components.p,{children:`(1) API Key konfigurieren`}),`\n`,_jsxs(_components.p,{children:[`Setzen Sie den soeben erhaltenen API Key in der lokalen Umgebungsvariable `,_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) LLM- und Embedding-Modell konfigurieren`}),`\n`,_jsxs(_components.p,{children:[`Fügen Sie im Beispielcode nach der Zeile `,_jsx(_components.code,{children:`config = Configuration()`}),` den folgenden Code hinzu:`]}),`\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) Dateipfad und prompt für die Suche konfigurieren`}),`\n`,_jsxs(_components.p,{children:[`Laden Sie Dateien aus dem angegebenen lokalen Pfad und speichern Sie deren Inhalt in der Sammlung. Ändern Sie den Code an der Stelle, an der `,_jsx(_components.code,{children:`load_from_local_files`}),` aufgerufen wird. Sie können die vom Projekt bereitgestellte Datei `,_jsx(_components.code,{children:`examples/data/WhatisMilvus.pdf`}),` verwenden oder Ihre eigene Datei nutzen. 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