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Copy file name to clipboardexpand all lines: docs/platform/0.architecture-and-concepts/1.concepts.md
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AI DIAL Chat users can engage with applications via standard or fully customized interfaces. Applications can interact via the Unified API or registered custom endpoints, enabling creation of complex scenarios and utilizing all AI DIAL features.
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You can expand the platform by introducing custom application types to build the applications you need, using the AI DIAL SDK to streamline the development process.
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> Refer to [Applications](/docs/tutorials/0.user-guide.md#applications-1) to learn how to develop, add and manage apps in DIAL.
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> Refer to [Applications](/docs/tutorials/0.user-guide.md#applications) to learn how to develop, add and manage apps in DIAL.
Copy file name to clipboardexpand all lines: docs/platform/1.deployment-intro.md
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#### Storage
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Data portability is paramount. AI DIAL stores all user data in BLOB storage, simplifying cloud-to-cloud migrations. Furthermore, its decentralized design eliminates the need for a centralized database, relying instead on Redis and cloud storage solutions. This approach makes AI DIAL an ideal platform for building web-scale businesses.
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Data portability is paramount. AI DIAL stores all user data in BLOB storage, simplifying cloud-to-cloud migrations. Furthermore, its decentralized design eliminates the need for a centralized database, relying instead on Redis and cloud storage solutions. This approach makes AI DIAL an ideal platform for building web-scale solutions.
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> Refer to [Persistent Layer](/docs/platform/0.architecture-and-concepts/3.components.md#persistent-layer) to learn more.
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# Supported Models
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In this list, you can find models that we have tested and verified. We are committed to adding more and constantly update this list. You can use our OpenAI adapter to connect to a much wider spectrum of models compatible with OpenAI API.
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> Refer to [OpenAI](https://github.com/epam/ai-dial-adapter-openai), [Bedrock](https://github.com/epam/ai-dial-adapter-bedrock/?tab=readme-ov-file#supported-models), [Vertex](https://github.com/epam/ai-dial-adapter-vertexai/?tab=readme-ov-file#supported-models) adapters to view more details about them and the supported models.
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AI DIAL allows you to access models from all major LLM providers, language models from the open-source community, alternative vendors, and fine-tuned micro models, as well as self-hosted or models listed on HuggingFace or DeepSeek.
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You can use [DIAL SDK](https://github.com/epam/ai-dial-sdk) to create custom model adapters. Applications and model adapters implemented using this framework will be compatible with [AI DIAL API](https://dialx.ai/dial_api) that was designed based on [Azure OpenAI API](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference).
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## LLM Adapters
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AI DIAL includes adapters for all major LLM providers such as Amazon Bedrock, Google Vertex AI, and Azure OpenAI:
In this list, you can find models that we have tested and verified. We are committed to adding more and constantly update this list. You can use our OpenAI adapter to connect to a much wider spectrum of models compatible with OpenAI API.
Copy file name to clipboardexpand all lines: docs/platform/6.realtime-analytics-intro.md
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* Language of conversations.
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* Any other calculated statistics based on conversations.
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## Configuration
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> Refer to [Analytics Realtime Configuration](/docs/tutorials/2.devops/1.configuration/2.realtime-analytics-config.md) to see configuration guidelines.
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> * Refer to [Enable Publications](/docs/tutorials/2.devops/1.configuration/1.enable-publications-chat.md) to learn how to enable and configured publications in AI DIAL Chat.
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> * Refer to [Publications](/docs/tutorials/1.developers/1.work-with-resources/0.work-with-publications.md) to see development tutorials.
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> * Refer to [User Guide](/docs/tutorials/0.user-guide.md#publications) to learn about this feature and how to use it in AI DIAL Chat.
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> * Refer to [Publication API](https://dialx.ai/dial_api#tag/Publications).
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## Sharing
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In AI DIAL, when a resource is created or uploaded from an external source, it is stored in a dedicated [storage bucket](/docs/platform/0.architecture-and-concepts/1.concepts.md#persistent-layer). You can share these resources with other users or applications. The sharing functionality is available through both the DIAL API and the AI DIAL Chat UI.
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> * Refer to [Sharing](/docs/tutorials/1.developers/1.work-with-resources/1.sharing.md) to see development tutorials.
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> * Refer to [Conversations](/docs/tutorials/0.user-guide.md#share), [Prompts](/docs/tutorials/0.user-guide.md#share-1) to see user can share resources in AI DIAL Chat.
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> * Refer to [Sharing API](https://dialx.ai/dial_api#tag/Sharing).
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## Notification
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AI DIAL API support two slightly different types of notifications: notifications and subscribe. Notifications are user to notify about specific actions, e.g. when a publication request is approved. Subscriptions allows receiving notifications about changes such as DELETE, CREATE, UPDATE made to DIAL resources such as applications, files, conversations and prompts.
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> Refer to [Notifications](/docs/tutorials/1.developers/1.work-with-resources/2.notifications.md) to see development tutorials.
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> * Refer to [Notifications](/docs/tutorials/1.developers/1.work-with-resources/2.notifications.md) to see development tutorials.
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> * Refer to [Notifications API](https://dialx.ai/dial_api#tag/Notifications).
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