Dify Cloud · - Self-hosting · - Documentation · + Self-hosting · + Documentation · Dify edition overview
@@ -78,9 +78,9 @@ After running, you can access the Dify dashboard in your browser at [http://loca #### Seeking help -Please refer to our [FAQ](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/quick-start/faqs) if you encounter problems setting up Dify. Reach out to [the community and us](#community--contact) if you are still having issues. +Please refer to our [FAQ](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/quick-start/faqs) if you encounter problems setting up Dify. Reach out to [the community and us](#community--contact) if you are still having issues. -> If you'd like to contribute to Dify or do additional development, refer to our [guide to deploying from source code](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code) +> If you'd like to contribute to Dify or do additional development, refer to our [guide to deploying from source code](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code) ## Key features @@ -88,7 +88,7 @@ Please refer to our [FAQ](https://docs.dify.ai/getting-started/introduction/gett Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond. **2. Comprehensive model support**: -Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama3, and any OpenAI API-compatible models. A full list of supported model providers can be found [here](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/workspace/model-providers). +Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama3, and any OpenAI API-compatible models. A full list of supported model providers can be found [here](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/workspace/model-providers).  @@ -114,7 +114,7 @@ All of Dify's offerings come with corresponding APIs, so you could effortlessly - **Self-hosting Dify Community Edition** Quickly get Dify running in your environment with this [starter guide](#quick-start). - Use our [documentation](https://docs.dify.ai/getting-started/introduction/getting-started/introduction) for further references and more in-depth instructions. + Use our [documentation](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction) for further references and more in-depth instructions. - **Dify for enterprise / organizations** We provide additional enterprise-centric features. [Log your questions for us through this chatbot](https://udify.app/chat/22L1zSxg6yW1cWQg) or [send us an email](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry) to discuss enterprise needs. @@ -129,7 +129,7 @@ Star Dify on GitHub and be instantly notified of new releases. ## Advanced Setup -If you need to customize the configuration, please refer to the comments in our [.env.example](docker/.env.example) file and update the corresponding values in your `.env` file. Additionally, you might need to make adjustments to the `docker-compose.yaml` file itself, such as changing image versions, port mappings, or volume mounts, based on your specific deployment environment and requirements. After making any changes, please re-run `docker-compose up -d`. You can find the full list of available environment variables [here](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/configuration/environments). +If you need to customize the configuration, please refer to the comments in our [.env.example](docker/.env.example) file and update the corresponding values in your `.env` file. Additionally, you might need to make adjustments to the `docker-compose.yaml` file itself, such as changing image versions, port mappings, or volume mounts, based on your specific deployment environment and requirements. After making any changes, please re-run `docker-compose up -d`. You can find the full list of available environment variables [here](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/configuration/environments). If you'd like to configure a highly-available setup, there are community-contributed [Helm Charts](https://helm.sh/) and YAML files which allow Dify to be deployed on Kubernetes. diff --git a/README_AR.md b/README_AR.md index 3fffff3bd1..90ce8de2e8 100644 --- a/README_AR.md +++ b/README_AR.md @@ -2,8 +2,8 @@Dify Cloud · - الاستضافة الذاتية · - التوثيق · + الاستضافة الذاتية · + التوثيق · نظرة عامة على منتجات Dify
@@ -54,7 +54,7 @@ **1. سير العمل**: قم ببناء واختبار سير عمل الذكاء الاصطناعي القوي على قماش بصري، مستفيدًا من جميع الميزات التالية وأكثر. -**2. الدعم الشامل للنماذج**: تكامل سلس مع مئات من LLMs الخاصة / مفتوحة المصدر من عشرات من موفري التحليل والحلول المستضافة ذاتيًا، مما يغطي GPT و Mistral و Llama3 وأي نماذج متوافقة مع واجهة OpenAI API. يمكن العثور على قائمة كاملة بمزودي النموذج المدعومين [هنا](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/workspace/model-providers). +**2. الدعم الشامل للنماذج**: تكامل سلس مع مئات من LLMs الخاصة / مفتوحة المصدر من عشرات من موفري التحليل والحلول المستضافة ذاتيًا، مما يغطي GPT و Mistral و Llama3 وأي نماذج متوافقة مع واجهة OpenAI API. يمكن العثور على قائمة كاملة بمزودي النموذج المدعومين [هنا](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/workspace/model-providers).  @@ -75,7 +75,7 @@ - **استضافة ذاتية لنسخة المجتمع Dify** ابدأ سريعًا في تشغيل Dify في بيئتك باستخدام \[دليل البدء السريع\](#البدء السريع). - استخدم [توثيقنا](https://docs.dify.ai/getting-started/introduction/getting-started/introduction) للمزيد من المراجع والتعليمات الأعمق. + استخدم [توثيقنا](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction) للمزيد من المراجع والتعليمات الأعمق. - **مشروع Dify للشركات / المؤسسات** نحن نوفر ميزات إضافية مركزة على الشركات. [جدول اجتماع معنا](https://cal.com/guchenhe/30min) أو [أرسل لنا بريدًا إلكترونيًا](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry) لمناقشة احتياجات الشركات. @@ -107,11 +107,11 @@ docker compose up -d بعد التشغيل، يمكنك الوصول إلى لوحة تحكم Dify في متصفحك على [http://localhost/install](http://localhost/install) وبدء عملية التهيئة. -> إذا كنت ترغب في المساهمة في Dify أو القيام بتطوير إضافي، فانظر إلى [دليلنا للنشر من الشفرة (code) المصدرية](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code) +> إذا كنت ترغب في المساهمة في Dify أو القيام بتطوير إضافي، فانظر إلى [دليلنا للنشر من الشفرة (code) المصدرية](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code) ## الخطوات التالية -إذا كنت بحاجة إلى تخصيص الإعدادات، فيرجى الرجوع إلى التعليقات في ملف [.env.example](docker/.env.example) وتحديث القيم المقابلة في ملف `.env`. بالإضافة إلى ذلك، قد تحتاج إلى إجراء تعديلات على ملف `docker-compose.yaml` نفسه، مثل تغيير إصدارات الصور أو تعيينات المنافذ أو نقاط تحميل وحدات التخزين، بناءً على بيئة النشر ومتطلباتك الخاصة. بعد إجراء أي تغييرات، يرجى إعادة تشغيل `docker-compose up -d`. يمكنك العثور على قائمة كاملة بمتغيرات البيئة المتاحة [هنا](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/configuration/environments). +إذا كنت بحاجة إلى تخصيص الإعدادات، فيرجى الرجوع إلى التعليقات في ملف [.env.example](docker/.env.example) وتحديث القيم المقابلة في ملف `.env`. بالإضافة إلى ذلك، قد تحتاج إلى إجراء تعديلات على ملف `docker-compose.yaml` نفسه، مثل تغيير إصدارات الصور أو تعيينات المنافذ أو نقاط تحميل وحدات التخزين، بناءً على بيئة النشر ومتطلباتك الخاصة. بعد إجراء أي تغييرات، يرجى إعادة تشغيل `docker-compose up -d`. يمكنك العثور على قائمة كاملة بمتغيرات البيئة المتاحة [هنا](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/configuration/environments). يوجد مجتمع خاص بـ [Helm Charts](https://helm.sh/) وملفات YAML التي تسمح بتنفيذ Dify على Kubernetes للنظام من الإيجابيات العلوية. diff --git a/README_BN.md b/README_BN.md index 39cf984a8f..698bdc251f 100644 --- a/README_BN.md +++ b/README_BN.md @@ -6,8 +6,8 @@ডিফাই ক্লাউড · - সেল্ফ-হোস্টিং · - ডকুমেন্টেশন · + সেল্ফ-হোস্টিং · + ডকুমেন্টেশন · Dify পণ্যের রূপভেদ
@@ -77,9 +77,9 @@ docker compose up -d #### সাহায্যের খোঁজে -ডিফাই সেট আপ করতে সমস্যা হলে দয়া করে আমাদের [FAQ](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/quick-start/faqs) দেখুন। যদি তবুও সমস্যা থেকে থাকে, তাহলে [কমিউনিটি এবং আমাদের](#community--contact) সাথে যোগাযোগ করুন। +ডিফাই সেট আপ করতে সমস্যা হলে দয়া করে আমাদের [FAQ](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/quick-start/faqs) দেখুন। যদি তবুও সমস্যা থেকে থাকে, তাহলে [কমিউনিটি এবং আমাদের](#community--contact) সাথে যোগাযোগ করুন। -> যদি আপনি ডিফাইতে অবদান রাখতে বা অতিরিক্ত উন্নয়ন করতে চান, আমাদের [সোর্স কোড থেকে ডিপ্লয়মেন্টের গাইড](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code) দেখুন। +> যদি আপনি ডিফাইতে অবদান রাখতে বা অতিরিক্ত উন্নয়ন করতে চান, আমাদের [সোর্স কোড থেকে ডিপ্লয়মেন্টের গাইড](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code) দেখুন। ## প্রধান ফিচারসমূহ @@ -87,7 +87,7 @@ docker compose up -d ভিজ্যুয়াল ক্যানভাসে AI ওয়ার্কফ্লো তৈরি এবং পরীক্ষা করুন, নিম্নলিখিত সব ফিচার এবং তার বাইরেও আরও অনেক কিছু ব্যবহার করে। **২. মডেল সাপোর্ট**: -GPT, Mistral, Llama3, এবং যেকোনো OpenAI API-সামঞ্জস্যপূর্ণ মডেলসহ, কয়েক ডজন ইনফারেন্স প্রদানকারী এবং সেল্ফ-হোস্টেড সমাধান থেকে শুরু করে প্রোপ্রাইটরি/ওপেন-সোর্স LLM-এর সাথে সহজে ইন্টিগ্রেশন। সমর্থিত মডেল প্রদানকারীদের একটি সম্পূর্ণ তালিকা পাওয়া যাবে [এখানে](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/workspace/model-providers)। +GPT, Mistral, Llama3, এবং যেকোনো OpenAI API-সামঞ্জস্যপূর্ণ মডেলসহ, কয়েক ডজন ইনফারেন্স প্রদানকারী এবং সেল্ফ-হোস্টেড সমাধান থেকে শুরু করে প্রোপ্রাইটরি/ওপেন-সোর্স LLM-এর সাথে সহজে ইন্টিগ্রেশন। সমর্থিত মডেল প্রদানকারীদের একটি সম্পূর্ণ তালিকা পাওয়া যাবে [এখানে](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/workspace/model-providers)।  @@ -113,7 +113,7 @@ LLM ফাংশন কলিং বা ReAct উপর ভিত্তি ক - **সেল্ফহোস্টিং ডিফাই কমিউনিটি সংস্করণ** সেল্ফহোস্ট করতে এই [স্টার্টার গাইড](#quick-start) ব্যবহার করে দ্রুত আপনার এনভায়রনমেন্টে ডিফাই চালান। - আরো ইন-ডেপথ রেফারেন্সের জন্য [ডকুমেন্টেশন](https://docs.dify.ai/getting-started/introduction/getting-started/introduction) দেখেন। + আরো ইন-ডেপথ রেফারেন্সের জন্য [ডকুমেন্টেশন](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction) দেখেন। - **এন্টারপ্রাইজ / প্রতিষ্ঠানের জন্য Dify** আমরা এন্টারপ্রাইজ/প্রতিষ্ঠান-কেন্দ্রিক সেবা প্রদান করে থাকি । [এই চ্যাটবটের মাধ্যমে আপনার প্রশ্নগুলি আমাদের জন্য লগ করুন।](https://udify.app/chat/22L1zSxg6yW1cWQg) অথবা [আমাদের ইমেল পাঠান](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry) আপনার চাহিদা সম্পর্কে আলোচনা করার জন্য। @@ -129,7 +129,7 @@ GitHub-এ ডিফাইকে স্টার দিয়ে রাখুন ## Advanced Setup যদি আপনার কনফিগারেশনটি কাস্টমাইজ করার প্রয়োজন হয়, তাহলে অনুগ্রহ করে আমাদের [.env.example](docker/.env.example) ফাইল দেখুন এবং আপনার `.env` ফাইলে সংশ্লিষ্ট মানগুলি আপডেট করুন। এছাড়াও, আপনার নির্দিষ্ট এনভায়রনমেন্ট এবং প্রয়োজনীয়তার উপর ভিত্তি করে আপনাকে `docker-compose.yaml` ফাইলে সমন্বয় করতে হতে পারে, যেমন ইমেজ ভার্সন পরিবর্তন করা, পোর্ট ম্যাপিং করা, অথবা ভলিউম মাউন্ট করা। -যেকোনো পরিবর্তন করার পর, অনুগ্রহ করে `docker-compose up -d` পুনরায় চালান। ভেরিয়েবলের সম্পূর্ণ তালিকা [এখানে] (https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/configuration/environments) খুঁজে পেতে পারেন। +যেকোনো পরিবর্তন করার পর, অনুগ্রহ করে `docker-compose up -d` পুনরায় চালান। ভেরিয়েবলের সম্পূর্ণ তালিকা [এখানে] (https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/configuration/environments) খুঁজে পেতে পারেন। যদি আপনি একটি হাইলি এভেইলেবল সেটআপ কনফিগার করতে চান, তাহলে কমিউনিটি [Helm Charts](https://helm.sh/) এবং YAML ফাইল রয়েছে যা Dify কে Kubernetes-এ ডিপ্লয় করার প্রক্রিয়া বর্ণনা করে। diff --git a/README_DE.md b/README_DE.md index 272ce98290..4e9b8564e0 100644 --- a/README_DE.md +++ b/README_DE.md @@ -6,8 +6,8 @@Dify Cloud · - Selbstgehostetes · - Dokumentation · + Selbstgehostetes · + Dokumentation · Überblick über die Dify-Produkte
@@ -77,9 +77,9 @@ Nachdem Sie den Server gestartet haben, können Sie über Ihren Browser auf das #### Hilfe suchen -Bitte beachten Sie unsere [FAQ](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/quick-start/faqs), wenn Sie Probleme bei der Einrichtung von Dify haben. Wenden Sie sich an [die Community und uns](#community--contact), falls weiterhin Schwierigkeiten auftreten. +Bitte beachten Sie unsere [FAQ](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/quick-start/faqs), wenn Sie Probleme bei der Einrichtung von Dify haben. Wenden Sie sich an [die Community und uns](#community--contact), falls weiterhin Schwierigkeiten auftreten. -> Wenn Sie zu Dify beitragen oder zusätzliche Entwicklungen durchführen möchten, lesen Sie bitte unseren [Leitfaden zur Bereitstellung aus dem Quellcode](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code). +> Wenn Sie zu Dify beitragen oder zusätzliche Entwicklungen durchführen möchten, lesen Sie bitte unseren [Leitfaden zur Bereitstellung aus dem Quellcode](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code). ## Wesentliche Merkmale @@ -87,7 +87,7 @@ Bitte beachten Sie unsere [FAQ](https://docs.dify.ai/getting-started/introductio Erstellen und testen Sie leistungsstarke KI-Workflows auf einer visuellen Oberfläche, wobei Sie alle der folgenden Funktionen und darüber hinaus nutzen können. **2. Umfassende Modellunterstützung**: -Nahtlose Integration mit Hunderten von proprietären und Open-Source-LLMs von Dutzenden Inferenzanbietern und selbstgehosteten Lösungen, die GPT, Mistral, Llama3 und alle mit der OpenAI API kompatiblen Modelle abdecken. Eine vollständige Liste der unterstützten Modellanbieter finden Sie [hier](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/workspace/model-providers). +Nahtlose Integration mit Hunderten von proprietären und Open-Source-LLMs von Dutzenden Inferenzanbietern und selbstgehosteten Lösungen, die GPT, Mistral, Llama3 und alle mit der OpenAI API kompatiblen Modelle abdecken. Eine vollständige Liste der unterstützten Modellanbieter finden Sie [hier](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/workspace/model-providers).  @@ -112,7 +112,7 @@ Alle Dify-Angebote kommen mit entsprechenden APIs, sodass Sie Dify mühelos in I Wir hosten einen [Dify Cloud](https://dify.ai)-Service, den jeder ohne Einrichtung ausprobieren kann. Er bietet alle Funktionen der selbstgehosteten Version und beinhaltet 200 kostenlose GPT-4-Aufrufe im Sandbox-Plan. - **Selbstgehostete Dify Community Edition** - Starten Sie Dify schnell in Ihrer Umgebung mit diesem [Schnellstart-Leitfaden](#quick-start). Nutzen Sie unsere [Dokumentation](https://docs.dify.ai/getting-started/introduction/getting-started/introduction) für weiterführende Informationen und detaillierte Anweisungen. + Starten Sie Dify schnell in Ihrer Umgebung mit diesem [Schnellstart-Leitfaden](#quick-start). Nutzen Sie unsere [Dokumentation](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction) für weiterführende Informationen und detaillierte Anweisungen. - **Dify für Unternehmen / Organisationen** Wir bieten zusätzliche, unternehmensspezifische Funktionen. [Über diesen Chatbot können Sie uns Ihre Fragen mitteilen](https://udify.app/chat/22L1zSxg6yW1cWQg) oder [senden Sie uns eine E-Mail](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry), um Ihre unternehmerischen Bedürfnisse zu besprechen. @@ -127,7 +127,7 @@ Star Dify auf GitHub und lassen Sie sich sofort über neue Releases benachrichti ## Erweiterte Einstellungen -Falls Sie die Konfiguration anpassen müssen, lesen Sie bitte die Kommentare in unserer [.env.example](docker/.env.example)-Datei und aktualisieren Sie die entsprechenden Werte in Ihrer `.env`-Datei. Zusätzlich müssen Sie eventuell Anpassungen an der `docker-compose.yaml`-Datei vornehmen, wie zum Beispiel das Ändern von Image-Versionen, Portzuordnungen oder Volumen-Mounts, je nach Ihrer spezifischen Einsatzumgebung und Ihren Anforderungen. Nachdem Sie Änderungen vorgenommen haben, starten Sie `docker-compose up -d` erneut. Eine vollständige Liste der verfügbaren Umgebungsvariablen finden Sie [hier](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/configuration/environments). +Falls Sie die Konfiguration anpassen müssen, lesen Sie bitte die Kommentare in unserer [.env.example](docker/.env.example)-Datei und aktualisieren Sie die entsprechenden Werte in Ihrer `.env`-Datei. Zusätzlich müssen Sie eventuell Anpassungen an der `docker-compose.yaml`-Datei vornehmen, wie zum Beispiel das Ändern von Image-Versionen, Portzuordnungen oder Volumen-Mounts, je nach Ihrer spezifischen Einsatzumgebung und Ihren Anforderungen. Nachdem Sie Änderungen vorgenommen haben, starten Sie `docker-compose up -d` erneut. Eine vollständige Liste der verfügbaren Umgebungsvariablen finden Sie [hier](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/configuration/environments). Falls Sie eine hochverfügbare Konfiguration einrichten möchten, gibt es von der Community bereitgestellte [Helm Charts](https://helm.sh/) und YAML-Dateien, die es ermöglichen, Dify auf Kubernetes bereitzustellen. diff --git a/README_ES.md b/README_ES.md index ee588ca485..ba799f03cb 100644 --- a/README_ES.md +++ b/README_ES.md @@ -2,8 +2,8 @@Dify Cloud · - Auto-alojamiento · - Documentación · + Auto-alojamiento · + Documentación · Resumen de las ediciones de Dify
@@ -60,7 +60,7 @@ Dify es una plataforma de desarrollo de aplicaciones de LLM de código abierto. Construye y prueba potentes flujos de trabajo de IA en un lienzo visual, aprovechando todas las siguientes características y más. **2. Soporte de modelos completo**: -Integración perfecta con cientos de LLMs propietarios / de código abierto de docenas de proveedores de inferencia y soluciones auto-alojadas, que cubren GPT, Mistral, Llama3 y cualquier modelo compatible con la API de OpenAI. Se puede encontrar una lista completa de proveedores de modelos admitidos [aquí](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/workspace/model-providers). +Integración perfecta con cientos de LLMs propietarios / de código abierto de docenas de proveedores de inferencia y soluciones auto-alojadas, que cubren GPT, Mistral, Llama3 y cualquier modelo compatible con la API de OpenAI. Se puede encontrar una lista completa de proveedores de modelos admitidos [aquí](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/workspace/model-providers).  @@ -86,7 +86,7 @@ Todas las ofertas de Dify vienen con APIs correspondientes, por lo que podrías - **Auto-alojamiento de Dify Community Edition** Pon rápidamente Dify en funcionamiento en tu entorno con esta [guía de inicio rápido](#quick-start). - Usa nuestra [documentación](https://docs.dify.ai/getting-started/introduction/getting-started/introduction) para más referencias e instrucciones más detalladas. + Usa nuestra [documentación](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction) para más referencias e instrucciones más detalladas. - **Dify para Empresas / Organizaciones** Proporcionamos características adicionales centradas en la empresa. [Envíanos un correo electrónico](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry) para discutir las necesidades empresariales. @@ -118,13 +118,13 @@ docker compose up -d Después de ejecutarlo, puedes acceder al panel de control de Dify en tu navegador en [http://localhost/install](http://localhost/install) y comenzar el proceso de inicialización. -> Si deseas contribuir a Dify o realizar desarrollo adicional, consulta nuestra [guía para implementar desde el código fuente](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code) +> Si deseas contribuir a Dify o realizar desarrollo adicional, consulta nuestra [guía para implementar desde el código fuente](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code) ## Próximos pasos -Si necesita personalizar la configuración, consulte los comentarios en nuestro archivo [.env.example](docker/.env.example) y actualice los valores correspondientes en su archivo `.env`. Además, es posible que deba realizar ajustes en el propio archivo `docker-compose.yaml`, como cambiar las versiones de las imágenes, las asignaciones de puertos o los montajes de volúmenes, según su entorno de implementación y requisitos específicos. Después de realizar cualquier cambio, vuelva a ejecutar `docker-compose up -d`. Puede encontrar la lista completa de variables de entorno disponibles [aquí](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/configuration/environments). +Si necesita personalizar la configuración, consulte los comentarios en nuestro archivo [.env.example](docker/.env.example) y actualice los valores correspondientes en su archivo `.env`. Además, es posible que deba realizar ajustes en el propio archivo `docker-compose.yaml`, como cambiar las versiones de las imágenes, las asignaciones de puertos o los montajes de volúmenes, según su entorno de implementación y requisitos específicos. Después de realizar cualquier cambio, vuelva a ejecutar `docker-compose up -d`. Puede encontrar la lista completa de variables de entorno disponibles [aquí](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/configuration/environments). -. Después de realizar los cambios, ejecuta `docker-compose up -d` nuevamente. Puedes ver la lista completa de variables de entorno [aquí](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/configuration/environments). +. Después de realizar los cambios, ejecuta `docker-compose up -d` nuevamente. Puedes ver la lista completa de variables de entorno [aquí](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/configuration/environments). Si desea configurar una configuración de alta disponibilidad, la comunidad proporciona [Gráficos Helm](https://helm.sh/) y archivos YAML, a través de los cuales puede desplegar Dify en Kubernetes. diff --git a/README_FR.md b/README_FR.md index 6c0783be3e..66480bde43 100644 --- a/README_FR.md +++ b/README_FR.md @@ -2,8 +2,8 @@Dify Cloud · - Auto-hébergement · - Documentation · + Auto-hébergement · + Documentation · Présentation des différentes offres Dify
@@ -60,7 +60,7 @@ Dify est une plateforme de développement d'applications LLM open source. Son in Construisez et testez des flux de travail d'IA puissants sur un canevas visuel, en utilisant toutes les fonctionnalités suivantes et plus encore. **2. Prise en charge complète des modèles** : -Intégration transparente avec des centaines de LLM propriétaires / open source provenant de dizaines de fournisseurs d'inférence et de solutions auto-hébergées, couvrant GPT, Mistral, Llama3, et tous les modèles compatibles avec l'API OpenAI. Une liste complète des fournisseurs de modèles pris en charge se trouve [ici](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/workspace/model-providers). +Intégration transparente avec des centaines de LLM propriétaires / open source provenant de dizaines de fournisseurs d'inférence et de solutions auto-hébergées, couvrant GPT, Mistral, Llama3, et tous les modèles compatibles avec l'API OpenAI. Une liste complète des fournisseurs de modèles pris en charge se trouve [ici](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/workspace/model-providers).  @@ -86,7 +86,7 @@ Toutes les offres de Dify sont accompagnées d'API correspondantes, vous permett - **Auto-hébergement Dify Community Edition** Lancez rapidement Dify dans votre environnement avec ce [guide de démarrage](#quick-start). - Utilisez notre [documentation](https://docs.dify.ai/getting-started/introduction/getting-started/introduction) pour plus de références et des instructions plus détaillées. + Utilisez notre [documentation](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction) pour plus de références et des instructions plus détaillées. - **Dify pour les entreprises / organisations** Nous proposons des fonctionnalités supplémentaires adaptées aux entreprises. [Envoyez-nous un e-mail](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry) pour discuter des besoins de l'entreprise. @@ -118,11 +118,11 @@ docker compose up -d Après l'exécution, vous pouvez accéder au tableau de bord Dify dans votre navigateur à [http://localhost/install](http://localhost/install) et commencer le processus d'initialisation. -> Si vous souhaitez contribuer à Dify ou effectuer un développement supplémentaire, consultez notre [guide de déploiement à partir du code source](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code) +> Si vous souhaitez contribuer à Dify ou effectuer un développement supplémentaire, consultez notre [guide de déploiement à partir du code source](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code) ## Prochaines étapes -Si vous devez personnaliser la configuration, veuillez vous référer aux commentaires dans notre fichier [.env.example](docker/.env.example) et mettre à jour les valeurs correspondantes dans votre fichier `.env`. De plus, vous devrez peut-être apporter des modifications au fichier `docker-compose.yaml` lui-même, comme changer les versions d'image, les mappages de ports ou les montages de volumes, en fonction de votre environnement de déploiement et de vos exigences spécifiques. Après avoir effectué des modifications, veuillez réexécuter `docker-compose up -d`. Vous pouvez trouver la liste complète des variables d'environnement disponibles [ici](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/configuration/environments). +Si vous devez personnaliser la configuration, veuillez vous référer aux commentaires dans notre fichier [.env.example](docker/.env.example) et mettre à jour les valeurs correspondantes dans votre fichier `.env`. De plus, vous devrez peut-être apporter des modifications au fichier `docker-compose.yaml` lui-même, comme changer les versions d'image, les mappages de ports ou les montages de volumes, en fonction de votre environnement de déploiement et de vos exigences spécifiques. Après avoir effectué des modifications, veuillez réexécuter `docker-compose up -d`. Vous pouvez trouver la liste complète des variables d'environnement disponibles [ici](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/configuration/environments). Si vous souhaitez configurer une configuration haute disponibilité, la communauté fournit des [Helm Charts](https://helm.sh/) et des fichiers YAML, à travers lesquels vous pouvez déployer Dify sur Kubernetes. diff --git a/README_KL.md b/README_KL.md index 210dd427b8..85009f96fd 100644 --- a/README_KL.md +++ b/README_KL.md @@ -2,8 +2,8 @@Dify Cloud · - Self-hosting · - Documentation · + Self-hosting · + Documentation · Dify product editions
@@ -60,7 +60,7 @@ Dify is an open-source LLM app development platform. Its intuitive interface com Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond. **2. Comprehensive model support**: -Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama3, and any OpenAI API-compatible models. A full list of supported model providers can be found [here](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/workspace/model-providers). +Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama3, and any OpenAI API-compatible models. A full list of supported model providers can be found [here](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/workspace/model-providers).  @@ -86,7 +86,7 @@ All of Dify's offerings come with corresponding APIs, so you could effortlessly - **Self-hosting Dify Community Edition** Quickly get Dify running in your environment with this [starter guide](#quick-start). - Use our [documentation](https://docs.dify.ai/getting-started/introduction/getting-started/introduction) for further references and more in-depth instructions. + Use our [documentation](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction) for further references and more in-depth instructions. - **Dify for Enterprise / Organizations** We provide additional enterprise-centric features. [Send us an email](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry) to discuss enterprise needs. @@ -118,11 +118,11 @@ docker compose up -d After running, you can access the Dify dashboard in your browser at [http://localhost/install](http://localhost/install) and start the initialization process. -> If you'd like to contribute to Dify or do additional development, refer to our [guide to deploying from source code](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code) +> If you'd like to contribute to Dify or do additional development, refer to our [guide to deploying from source code](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code) ## Next steps -If you need to customize the configuration, please refer to the comments in our [.env.example](docker/.env.example) file and update the corresponding values in your `.env` file. Additionally, you might need to make adjustments to the `docker-compose.yaml` file itself, such as changing image versions, port mappings, or volume mounts, based on your specific deployment environment and requirements. After making any changes, please re-run `docker-compose up -d`. You can find the full list of available environment variables [here](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/configuration/environments). +If you need to customize the configuration, please refer to the comments in our [.env.example](docker/.env.example) file and update the corresponding values in your `.env` file. Additionally, you might need to make adjustments to the `docker-compose.yaml` file itself, such as changing image versions, port mappings, or volume mounts, based on your specific deployment environment and requirements. After making any changes, please re-run `docker-compose up -d`. You can find the full list of available environment variables [here](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/configuration/environments). If you'd like to configure a highly-available setup, there are community-contributed [Helm Charts](https://helm.sh/) and YAML files which allow Dify to be deployed on Kubernetes. diff --git a/README_KR.md b/README_KR.md index 39e539bd14..77cacd89f1 100644 --- a/README_KR.md +++ b/README_KR.md @@ -2,8 +2,8 @@Dify 클라우드 · - 셀프-호스팅 · - 문서 · + 셀프-호스팅 · + 문서 · Dify 제품 에디션 안내
@@ -55,7 +55,7 @@ Dify는 오픈 소스 LLM 앱 개발 플랫폼입니다. 직관적인 인터페 **2. 포괄적인 모델 지원:**: -수십 개의 추론 제공업체와 자체 호스팅 솔루션에서 제공하는 수백 개의 독점 및 오픈 소스 LLM과 원활하게 통합되며, GPT, Mistral, Llama3 및 모든 OpenAI API 호환 모델을 포함합니다. 지원되는 모델 제공업체의 전체 목록은 [여기](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/workspace/model-providers)에서 확인할 수 있습니다. +수십 개의 추론 제공업체와 자체 호스팅 솔루션에서 제공하는 수백 개의 독점 및 오픈 소스 LLM과 원활하게 통합되며, GPT, Mistral, Llama3 및 모든 OpenAI API 호환 모델을 포함합니다. 지원되는 모델 제공업체의 전체 목록은 [여기](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/workspace/model-providers)에서 확인할 수 있습니다.  **3. 통합 개발환경**: @@ -80,7 +80,7 @@ Dify의 모든 제품에는 해당 API가 함께 제공되므로 Dify를 자신 - **셀프-호스팅 Dify 커뮤니티 에디션** 환경에서 Dify를 빠르게 실행하려면 이 [스타터 가이드를](#quick-start) 참조하세요. - 추가 참조 및 더 심층적인 지침은 [문서](https://docs.dify.ai/getting-started/introduction/getting-started/introduction)를 사용하세요. + 추가 참조 및 더 심층적인 지침은 [문서](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction)를 사용하세요. - **기업 / 조직을 위한 Dify** 우리는 추가적인 기업 중심 기능을 제공합니다. 잡거나 [이메일 보내기](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry)를 통해 기업 요구 사항을 논의하십시오. @@ -112,11 +112,11 @@ docker compose up -d 실행 후 브라우저의 [http://localhost/install](http://localhost/install) 에서 Dify 대시보드에 액세스하고 초기화 프로세스를 시작할 수 있습니다. -> Dify에 기여하거나 추가 개발을 하고 싶다면 소스 코드에서 [배포에 대한 가이드](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code)를 참조하세요. +> Dify에 기여하거나 추가 개발을 하고 싶다면 소스 코드에서 [배포에 대한 가이드](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code)를 참조하세요. ## 다음 단계 -구성을 사용자 정의해야 하는 경우 [.env.example](docker/.env.example) 파일의 주석을 참조하고 `.env` 파일에서 해당 값을 업데이트하십시오. 또한 특정 배포 환경 및 요구 사항에 따라 `docker-compose.yaml` 파일 자체를 조정해야 할 수도 있습니다. 예를 들어 이미지 버전, 포트 매핑 또는 볼륨 마운트를 변경합니다. 변경 한 후 `docker-compose up -d`를 다시 실행하십시오. 사용 가능한 환경 변수의 전체 목록은 [여기](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/configuration/environments)에서 찾을 수 있습니다. +구성을 사용자 정의해야 하는 경우 [.env.example](docker/.env.example) 파일의 주석을 참조하고 `.env` 파일에서 해당 값을 업데이트하십시오. 또한 특정 배포 환경 및 요구 사항에 따라 `docker-compose.yaml` 파일 자체를 조정해야 할 수도 있습니다. 예를 들어 이미지 버전, 포트 매핑 또는 볼륨 마운트를 변경합니다. 변경 한 후 `docker-compose up -d`를 다시 실행하십시오. 사용 가능한 환경 변수의 전체 목록은 [여기](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/configuration/environments)에서 찾을 수 있습니다. Dify를 Kubernetes에 배포하고 프리미엄 스케일링 설정을 구성했다는 커뮤니티가 제공하는 [Helm Charts](https://helm.sh/)와 YAML 파일이 존재합니다. diff --git a/README_PT.md b/README_PT.md index c07ee88a41..07f5f18d72 100644 --- a/README_PT.md +++ b/README_PT.md @@ -6,8 +6,8 @@Dify Cloud · - Auto-hospedagem · - Documentação · + Auto-hospedagem · + Documentação · Visão geral das edições do Dify
@@ -60,7 +60,7 @@ Dify é uma plataforma de desenvolvimento de aplicativos LLM de código aberto. Construa e teste workflows poderosos de IA em uma interface visual, aproveitando todos os recursos a seguir e muito mais. **2. Suporte abrangente a modelos**: -Integração perfeita com centenas de LLMs proprietários e de código aberto de diversas provedoras e soluções auto-hospedadas, abrangendo GPT, Mistral, Llama3 e qualquer modelo compatível com a API da OpenAI. A lista completa de provedores suportados pode ser encontrada [aqui](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/workspace/model-providers). +Integração perfeita com centenas de LLMs proprietários e de código aberto de diversas provedoras e soluções auto-hospedadas, abrangendo GPT, Mistral, Llama3 e qualquer modelo compatível com a API da OpenAI. A lista completa de provedores suportados pode ser encontrada [aqui](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/workspace/model-providers).  @@ -86,7 +86,7 @@ Todas os recursos do Dify vêm com APIs correspondentes, permitindo que você in - **Auto-hospedagem do Dify Community Edition** Configure rapidamente o Dify no seu ambiente com este [guia inicial](#quick-start). - Use nossa [documentação](https://docs.dify.ai/getting-started/introduction/getting-started/introduction) para referências adicionais e instruções mais detalhadas. + Use nossa [documentação](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction) para referências adicionais e instruções mais detalhadas. - **Dify para empresas/organizações** Oferecemos recursos adicionais voltados para empresas. [Envie suas perguntas através deste chatbot](https://udify.app/chat/22L1zSxg6yW1cWQg) ou [envie-nos um e-mail](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry) para discutir necessidades empresariais. @@ -118,11 +118,11 @@ docker compose up -d Após a execução, você pode acessar o painel do Dify no navegador em [http://localhost/install](http://localhost/install) e iniciar o processo de inicialização. -> Se você deseja contribuir com o Dify ou fazer desenvolvimento adicional, consulte nosso [guia para implantar a partir do código fonte](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code). +> Se você deseja contribuir com o Dify ou fazer desenvolvimento adicional, consulte nosso [guia para implantar a partir do código fonte](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code). ## Próximos passos -Se precisar personalizar a configuração, consulte os comentários no nosso arquivo [.env.example](docker/.env.example) e atualize os valores correspondentes no seu arquivo `.env`. Além disso, talvez seja necessário fazer ajustes no próprio arquivo `docker-compose.yaml`, como alterar versões de imagem, mapeamentos de portas ou montagens de volumes, com base no seu ambiente de implantação específico e nas suas necessidades. Após fazer quaisquer alterações, execute novamente `docker-compose up -d`. Você pode encontrar a lista completa de variáveis de ambiente disponíveis [aqui](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/configuration/environments). +Se precisar personalizar a configuração, consulte os comentários no nosso arquivo [.env.example](docker/.env.example) e atualize os valores correspondentes no seu arquivo `.env`. Além disso, talvez seja necessário fazer ajustes no próprio arquivo `docker-compose.yaml`, como alterar versões de imagem, mapeamentos de portas ou montagens de volumes, com base no seu ambiente de implantação específico e nas suas necessidades. Após fazer quaisquer alterações, execute novamente `docker-compose up -d`. Você pode encontrar a lista completa de variáveis de ambiente disponíveis [aqui](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/configuration/environments). Se deseja configurar uma instalação de alta disponibilidade, há [Helm Charts](https://helm.sh/) e arquivos YAML contribuídos pela comunidade que permitem a implantação do Dify no Kubernetes. diff --git a/README_SI.md b/README_SI.md index 19b507aac9..a5efbe06fe 100644 --- a/README_SI.md +++ b/README_SI.md @@ -6,8 +6,8 @@Dify Cloud · - Samostojno gostovanje · - Dokumentacija · + Samostojno gostovanje · + Dokumentacija · Pregled ponudb izdelkov Dify
@@ -74,9 +74,9 @@ Po zagonu lahko dostopate do nadzorne plošče Dify v brskalniku na [http://loca #### Iskanje pomoči -Prosimo, glejte naša pogosta vprašanja [FAQ](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/quick-start/faqs) če naletite na težave pri nastavitvi Dify. Če imate še vedno težave, se obrnite na [skupnost ali nas](#community--contact). +Prosimo, glejte naša pogosta vprašanja [FAQ](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/quick-start/faqs) če naletite na težave pri nastavitvi Dify. Če imate še vedno težave, se obrnite na [skupnost ali nas](#community--contact). -> Če želite prispevati k Difyju ali narediti dodaten razvoj, glejte naš vodnik za [uvajanje iz izvorne kode](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code) +> Če želite prispevati k Difyju ali narediti dodaten razvoj, glejte naš vodnik za [uvajanje iz izvorne kode](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code) ## Ključne značilnosti @@ -84,7 +84,7 @@ Prosimo, glejte naša pogosta vprašanja [FAQ](https://docs.dify.ai/getting-star Zgradite in preizkusite zmogljive poteke dela AI na vizualnem platnu, pri čemer izkoristite vse naslednje funkcije in več. **2. Celovita podpora za modele**: -Brezhibna integracija s stotinami lastniških/odprtokodnih LLM-jev ducatov ponudnikov sklepanja in samostojnih rešitev, ki pokrivajo GPT, Mistral, Llama3 in vse modele, združljive z API-jem OpenAI. Celoten seznam podprtih ponudnikov modelov najdete [tukaj](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/workspace/model-providers). +Brezhibna integracija s stotinami lastniških/odprtokodnih LLM-jev ducatov ponudnikov sklepanja in samostojnih rešitev, ki pokrivajo GPT, Mistral, Llama3 in vse modele, združljive z API-jem OpenAI. Celoten seznam podprtih ponudnikov modelov najdete [tukaj](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/workspace/model-providers).  @@ -109,7 +109,7 @@ AVse ponudbe Difyja so opremljene z ustreznimi API-ji, tako da lahko Dify brez t Gostimo storitev Dify Cloud za vsakogar, ki jo lahko preizkusite brez nastavitev. Zagotavlja vse zmožnosti različice za samostojno namestitev in vključuje 200 brezplačnih klicev GPT-4 v načrtu peskovnika. - **Self-hosting Dify Community Edition** - Hitro zaženite Dify v svojem okolju s tem [začetnim vodnikom](#quick-start) . Za dodatne reference in podrobnejša navodila uporabite našo [dokumentacijo](https://docs.dify.ai/getting-started/introduction/getting-started/introduction) . + Hitro zaženite Dify v svojem okolju s tem [začetnim vodnikom](#quick-start) . Za dodatne reference in podrobnejša navodila uporabite našo [dokumentacijo](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction) . - **Dify za podjetja/organizacije** Ponujamo dodatne funkcije, osredotočene na podjetja. Zabeležite svoja vprašanja prek tega klepetalnega robota ali nam pošljite e-pošto, da se pogovorimo o potrebah podjetja. diff --git a/README_TR.md b/README_TR.md index 1d237ae8cc..b9f04f682a 100644 --- a/README_TR.md +++ b/README_TR.md @@ -2,8 +2,8 @@Dify Bulut · - Kendi Sunucunuzda Barındırma · - Dokümantasyon · + Kendi Sunucunuzda Barındırma · + Dokümantasyon · Dify ürün seçeneklerine genel bakış
@@ -55,7 +55,7 @@ Dify, açık kaynaklı bir LLM uygulama geliştirme platformudur. Sezgisel aray Görsel bir arayüz üzerinde güçlü AI iş akışları oluşturun ve test edin, aşağıdaki tüm özellikleri ve daha fazlasını kullanarak. **2. Kapsamlı model desteği**: -Çok sayıda çıkarım sağlayıcısı ve kendi kendine barındırılan çözümlerden yüzlerce özel / açık kaynaklı LLM ile sorunsuz entegrasyon sağlar. GPT, Mistral, Llama3 ve OpenAI API uyumlu tüm modelleri kapsar. Desteklenen model sağlayıcılarının tam listesine [buradan](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/workspace/model-providers) ulaşabilirsiniz. +Çok sayıda çıkarım sağlayıcısı ve kendi kendine barındırılan çözümlerden yüzlerce özel / açık kaynaklı LLM ile sorunsuz entegrasyon sağlar. GPT, Mistral, Llama3 ve OpenAI API uyumlu tüm modelleri kapsar. Desteklenen model sağlayıcılarının tam listesine [buradan](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/workspace/model-providers) ulaşabilirsiniz.  @@ -81,7 +81,7 @@ Dify'ın tüm özellikleri ilgili API'lerle birlikte gelir, böylece Dify'ı ken - **Dify Topluluk Sürümünü Kendi Sunucunuzda Barındırma** Bu [başlangıç kılavuzu](#quick-start) ile Dify'ı kendi ortamınızda hızlıca çalıştırın. - Daha fazla referans ve detaylı talimatlar için [dokümantasyonumuzu](https://docs.dify.ai/getting-started/introduction/getting-started/introduction) kullanın. + Daha fazla referans ve detaylı talimatlar için [dokümantasyonumuzu](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction) kullanın. - **Kurumlar / organizasyonlar için Dify** Ek kurumsal odaklı özellikler sunuyoruz. Kurumsal ihtiyaçları görüşmek için [bize bir e-posta gönderin](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry). @@ -112,11 +112,11 @@ docker compose up -d Çalıştırdıktan sonra, tarayıcınızda [http://localhost/install](http://localhost/install) adresinden Dify kontrol paneline erişebilir ve başlangıç ayarları sürecini başlatabilirsiniz. -> Eğer Dify'a katkıda bulunmak veya ek geliştirmeler yapmak isterseniz, [kaynak koddan dağıtım kılavuzumuza](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code) başvurun. +> Eğer Dify'a katkıda bulunmak veya ek geliştirmeler yapmak isterseniz, [kaynak koddan dağıtım kılavuzumuza](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code) başvurun. ## Sonraki adımlar -Yapılandırmayı özelleştirmeniz gerekiyorsa, lütfen [.env.example](docker/.env.example) dosyamızdaki yorumlara bakın ve `.env` dosyanızdaki ilgili değerleri güncelleyin. Ayrıca, spesifik dağıtım ortamınıza ve gereksinimlerinize bağlı olarak `docker-compose.yaml` dosyasının kendisinde de, imaj sürümlerini, port eşlemelerini veya hacim bağlantılarını değiştirmek gibi ayarlamalar yapmanız gerekebilir. Herhangi bir değişiklik yaptıktan sonra, lütfen `docker-compose up -d` komutunu tekrar çalıştırın. Kullanılabilir tüm ortam değişkenlerinin tam listesini [burada](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/configuration/environments) bulabilirsiniz. +Yapılandırmayı özelleştirmeniz gerekiyorsa, lütfen [.env.example](docker/.env.example) dosyamızdaki yorumlara bakın ve `.env` dosyanızdaki ilgili değerleri güncelleyin. Ayrıca, spesifik dağıtım ortamınıza ve gereksinimlerinize bağlı olarak `docker-compose.yaml` dosyasının kendisinde de, imaj sürümlerini, port eşlemelerini veya hacim bağlantılarını değiştirmek gibi ayarlamalar yapmanız gerekebilir. Herhangi bir değişiklik yaptıktan sonra, lütfen `docker-compose up -d` komutunu tekrar çalıştırın. Kullanılabilir tüm ortam değişkenlerinin tam listesini [burada](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/configuration/environments) bulabilirsiniz. Yüksek kullanılabilirliğe sahip bir kurulum yapılandırmak isterseniz, Dify'ın Kubernetes üzerine dağıtılmasına olanak tanıyan topluluk katkılı [Helm Charts](https://helm.sh/) ve YAML dosyaları mevcuttur. diff --git a/README_TW.md b/README_TW.md index 069e91c6bb..9b59469d7e 100644 --- a/README_TW.md +++ b/README_TW.md @@ -6,8 +6,8 @@Dify 雲端服務 · - 自行託管 · - 說明文件 · + 自行託管 · + 說明文件 · 產品方案概覽
@@ -77,9 +77,9 @@ docker compose up -d ### 尋求幫助 -如果您在設置 Dify 時遇到問題，請參考我們的 [常見問題](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/quick-start/faqs)。如果仍有疑問，請聯絡 [社區和我們](#community--contact)。 +如果您在設置 Dify 時遇到問題，請參考我們的 [常見問題](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/quick-start/faqs)。如果仍有疑問，請聯絡 [社區和我們](#community--contact)。 -> 如果您想為 Dify 做出貢獻或進行額外開發，請參考我們的 [從原始碼部署指南](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code) +> 如果您想為 Dify 做出貢獻或進行額外開發，請參考我們的 [從原始碼部署指南](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code) ## 核心功能 @@ -87,7 +87,7 @@ docker compose up -d 在視覺化畫布上建立和測試強大的 AI 工作流程，利用以下所有功能及更多。 **2. 全面的模型支援**： -無縫整合來自數十個推理提供商和自託管解決方案的數百個專有/開源 LLM，涵蓋 GPT、Mistral、Llama3 和任何與 OpenAI API 兼容的模型。您可以在[此處](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/workspace/model-providers)找到支援的模型提供商完整列表。 +無縫整合來自數十個推理提供商和自託管解決方案的數百個專有/開源 LLM，涵蓋 GPT、Mistral、Llama3 和任何與 OpenAI API 兼容的模型。您可以在[此處](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/workspace/model-providers)找到支援的模型提供商完整列表。  @@ -113,7 +113,7 @@ Dify 的所有功能都提供相應的 API，因此您可以輕鬆地將 Dify - **自託管 Dify 社區版** 使用這份[快速指南](#%E5%BF%AB%E9%80%9F%E9%96%8B%E5%A7%8B)在您的環境中快速運行 Dify。 - 使用我們的[文檔](https://docs.dify.ai/getting-started/introduction/getting-started/introduction)獲取更多參考和深入指導。 + 使用我們的[文檔](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction)獲取更多參考和深入指導。 - **企業/組織版 Dify** 我們提供額外的企業中心功能。[通過這個聊天機器人記錄您的問題](https://udify.app/chat/22L1zSxg6yW1cWQg)或[發送電子郵件給我們](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry)討論企業需求。 diff --git a/README_VI.md b/README_VI.md index 962eef0a42..60266eacb6 100644 --- a/README_VI.md +++ b/README_VI.md @@ -2,8 +2,8 @@Dify Cloud · - Tự triển khai · - Tài liệu · + Tự triển khai · + Tài liệu · Tổng quan các lựa chọn sản phẩm Dify
@@ -55,7 +55,7 @@ Dify là một nền tảng phát triển ứng dụng LLM mã nguồn mở. Gia Xây dựng và kiểm tra các quy trình làm việc AI mạnh mẽ trên một canvas trực quan, tận dụng tất cả các tính năng sau đây và hơn thế nữa. **2. Hỗ trợ mô hình toàn diện**: -Tích hợp liền mạch với hàng trăm mô hình LLM độc quyền / mã nguồn mở từ hàng chục nhà cung cấp suy luận và giải pháp tự lưu trữ, bao gồm GPT, Mistral, Llama3, và bất kỳ mô hình tương thích API OpenAI nào. Danh sách đầy đủ các nhà cung cấp mô hình được hỗ trợ có thể được tìm thấy [tại đây](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/workspace/model-providers). +Tích hợp liền mạch với hàng trăm mô hình LLM độc quyền / mã nguồn mở từ hàng chục nhà cung cấp suy luận và giải pháp tự lưu trữ, bao gồm GPT, Mistral, Llama3, và bất kỳ mô hình tương thích API OpenAI nào. Danh sách đầy đủ các nhà cung cấp mô hình được hỗ trợ có thể được tìm thấy [tại đây](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/workspace/model-providers).  @@ -81,7 +81,7 @@ Tất cả các dịch vụ của Dify đều đi kèm với các API tương - **Tự triển khai Dify Community Edition** Nhanh chóng chạy Dify trong môi trường của bạn với [hướng dẫn bắt đầu](#quick-start) này. - Sử dụng [tài liệu](https://docs.dify.ai/getting-started/introduction/getting-started/introduction) của chúng tôi để tham khảo thêm và nhận hướng dẫn chi tiết hơn. + Sử dụng [tài liệu](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction) của chúng tôi để tham khảo thêm và nhận hướng dẫn chi tiết hơn. - **Dify cho doanh nghiệp / tổ chức** Chúng tôi cung cấp các tính năng bổ sung tập trung vào doanh nghiệp. [Ghi lại câu hỏi của bạn cho chúng tôi thông qua chatbot này](https://udify.app/chat/22L1zSxg6yW1cWQg) hoặc [gửi email cho chúng tôi](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry) để thảo luận về nhu cầu doanh nghiệp. @@ -113,11 +113,11 @@ docker compose up -d Sau khi chạy, bạn có thể truy cập bảng điều khiển Dify trong trình duyệt của bạn tại [http://localhost/install](http://localhost/install) và bắt đầu quá trình khởi tạo. -> Nếu bạn muốn đóng góp cho Dify hoặc phát triển thêm, hãy tham khảo [hướng dẫn triển khai từ mã nguồn](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code) của chúng tôi +> Nếu bạn muốn đóng góp cho Dify hoặc phát triển thêm, hãy tham khảo [hướng dẫn triển khai từ mã nguồn](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/advanced-deployments/local-source-code) của chúng tôi ## Các bước tiếp theo -Nếu bạn cần tùy chỉnh cấu hình, vui lòng tham khảo các nhận xét trong tệp [.env.example](docker/.env.example) của chúng tôi và cập nhật các giá trị tương ứng trong tệp `.env` của bạn. Ngoài ra, bạn có thể cần điều chỉnh tệp `docker-compose.yaml`, chẳng hạn như thay đổi phiên bản hình ảnh, ánh xạ cổng hoặc gắn kết khối lượng, dựa trên môi trường triển khai cụ thể và yêu cầu của bạn. Sau khi thực hiện bất kỳ thay đổi nào, vui lòng chạy lại `docker-compose up -d`. Bạn có thể tìm thấy danh sách đầy đủ các biến môi trường có sẵn [tại đây](https://docs.dify.ai/getting-started/introduction/getting-started/introduction/self-hosting/configuration/environments). +Nếu bạn cần tùy chỉnh cấu hình, vui lòng tham khảo các nhận xét trong tệp [.env.example](docker/.env.example) của chúng tôi và cập nhật các giá trị tương ứng trong tệp `.env` của bạn. Ngoài ra, bạn có thể cần điều chỉnh tệp `docker-compose.yaml`, chẳng hạn như thay đổi phiên bản hình ảnh, ánh xạ cổng hoặc gắn kết khối lượng, dựa trên môi trường triển khai cụ thể và yêu cầu của bạn. Sau khi thực hiện bất kỳ thay đổi nào, vui lòng chạy lại `docker-compose up -d`. Bạn có thể tìm thấy danh sách đầy đủ các biến môi trường có sẵn [tại đây](https://docs.dify.ai/documentation/pages/getting-started/introduction/getting-started/introduction/self-hosting/configuration/environments). Nếu bạn muốn cấu hình một cài đặt có độ sẵn sàng cao, có các [Helm Charts](https://helm.sh/) và tệp YAML do cộng đồng đóng góp cho phép Dify được triển khai trên Kubernetes. diff --git a/web/README.md b/web/README.md index d499b93aee..2f839273ac 100644 --- a/web/README.md +++ b/web/README.md @@ -110,7 +110,7 @@ If you are not familiar with writing tests, here is some code to refer to: ## Documentation -Visit