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CONTRIBUTING.md

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AI DIAL is a secure, enterprise-grade, free LLM orchestrator that is API-first and model-agnostic. It is designed to be cloud-agnostic, providing horizontal features that simplify interactions with various models and LLM-centric applications, as well as the development of LLM applications. We strive to avoid dependencies on specific cloud or LLM vendors, compromises on scalability or security, excessive expansion of our tech footprint, or potential licensing risks. We typically design features as APIs, which custom extensions can leverage.
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The solution is domain-agnostic. We prioritize use case-agnostic generic features (such as rendering charts in the frontend based on model responses) over features that are overly specific to a single domain (like supporting medical anthologies). However, specific implementations can be built as extensions or derived works. For more information, refer to our [extension framework](https://dialx.ai/extension-framework) and [API reference](https://dialx.ai/dial_api).
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The solution is domain-agnostic. We prioritize use case-agnostic generic features (such as rendering charts in the frontend based on model responses) over features that are overly specific to a single domain (like supporting medical anthologies). However, specific implementations can be built as extensions or derived works. For more information, refer to our [API reference](https://dialx.ai/dial_api).
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AI DIAL is a product that is designed to **enhance** or **extend**, rather than replace or compete with:
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docs/platform/0.architecture-and-concepts/0.vision.md

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DIAL is designed to be cloud-agnostic, providing horizontal features that simplify interactions with various models and LLM-centric applications, as well as the development of LLM applications. We strive to avoid dependencies on specific cloud or LLM vendors, compromises on scalability or security, excessive expansion of our tech footprint, or potential licensing risks. We typically design features as APIs, which custom extensions can leverage.
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The solution is domain-agnostic. We prioritize use case-agnostic generic features (such as rendering charts in the frontend based on model responses) over features that are overly specific to a single domain (like supporting medical anthologies). However, specific implementations can be built as extensions or derived works. For more information, refer to our [extension framework](https://dialx.ai/extension-framework) and [API reference](https://dialx.ai/dial_api).
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The solution is domain-agnostic. We prioritize use case-agnostic generic features (such as rendering charts in the frontend based on model responses) over features that are overly specific to a single domain (like supporting medical anthologies). However, specific implementations can be built as extensions or derived works. For more information, refer to our [API reference](https://dialx.ai/dial_api).
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DIAL is a product that is designed to **enhance** or **extend**, rather than replace or compete with:
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docs/platform/0.architecture-and-concepts/4.agentic-platform.md

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## Introduction
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DIAL can serve as an [Agentic Platform](https://dialx.ai/agentic-platform), where any existing agent can be used as a building block when developing applications. You can build simple conversational agents or powerful multi-agent and multi-modal applications solving specific business tasks.
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DIAL can serve as an agentic platform, where any existing agent can be used as a building block when developing applications. You can build simple conversational agents or powerful multi-agent and multi-modal applications solving specific business tasks.
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## Types of Agents
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> - [ChatHub](/docs/video%20demos/2.Applications/3.dial-chathub.md)
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> - [TimeBase AI Assistant](/docs/video%20demos/2.Applications/timebase-assistant.md)
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> - [OMICs AI Assistant](/docs/video%20demos/2.Applications/7.dial-omics-assistant.md)
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> - [Athlete Profile Generator Case Study](https://dialx.ai/solutions/athlete-profile-generator-case)

docs/platform/3.core/7.apps.md

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Mind Map enables users to explore information through an interactive knowledge graph and using natural language. You can use this application type to create an app which pulls data from various sources, including documents, URLs, and other data inputs and then presents it on UI as an interactive knowledge graph, facilitating intuitive and engaging user interactions with information. The [home page](https://dialx.ai/) of the DIALX landing website is built using this technology.
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> - Watch [Demo Video](/docs/video%20demos/2.Applications/mindmap-studio.md) to see [DIAL Mind Map Studio](/docs/tutorials/4.mind-map.md) in action.
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> - Refer to solutions to see implementations in specific industries: [Caspase-2 Article Visualization](https://dialx.ai/solutions/scientific-literature-knowledge-graph), [OMICS AI Assistant](https://dialx.ai/solutions/omics-data-assistant), [Visualization of Cinematic Universe](https://dialx.ai/solutions/lotr-universe-case)
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> - Refer to solutions to see implementations in specific industries: [Caspase-2 Article Visualization](/docs/video%20demos/2.Applications/casp2-asistant.md), [OMICS AI Assistant](/docs/video%20demos/2.Applications/7.dial-omics-assistant.md), [Visualization of Cinematic Universe](/docs/video%20demos/2.Applications/mindmap-lotr.md).
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## Applications without Schemas
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docs/platform/4.chat/1.marketplace.md

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> Watch a [demo video](/docs/video%20demos/1.Chat/2.marketplace.md) to explore DIAL Marketplace.
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[DIAL Marketplace](https://dialx.ai/marketplace) is a single-entry point for all applications, agents, tools, and models available in the DIAL environment of your organization.
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[DIAL Marketplace](https://dialx.ai/features/dial-marketplace) is a single-entry point for all applications, agents, tools, and models available in the DIAL environment of your organization.
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> For a detailed understanding of all that DIAL Marketplace has to offer, please refer to our [User Guide](/docs/tutorials/0.user-guide.md#marketplace).
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docs/tutorials/1.developers/0.local-run/0.quick-start-with-application.md

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Take note that this document covers the most basic aspects of developing and testing DIAL applications. Deploying and distributing these applications for production purposes will require additional configurations that guarantee secure access to the application endpoints through the implementation of firewalls and other network security settings to prevent unauthorized intrusion to the deployed applications.
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> * Refer to the [Extensibility](https://dialx.ai/extension-framework) to learn about system extensions supported in DIAL.
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> * Refer to [DIAL-Native Apps](/docs/platform/3.core/7.apps.md) to learn about applications in DIAL.
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## Prerequisites

docs/video demos/1.Chat/2.marketplace.md

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The DIAL Marketplace is a single-entry point for all your applications, agents, tools, and models. It supports tagging, searching, and filtering through all existing AI applications, while maintaining all required permissions and roles.
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> * Refer to [User Guide](/docs/tutorials/0.user-guide.md#marketplace) to learn about Marketplace features.
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> * Refer to [Marketplace](https://dialx.ai/marketplace) to learn more.
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> * Refer to [Marketplace](https://dialx.ai/features/dial-marketplace) to learn more.
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This video highlights the latest updates to the DIAL Marketplace, including the [Application Builder](/docs/tutorials/0.user-guide.md#application-builder) for real-time agent editing, a new Table View for better visualization, enhanced metadata with author tags, and direct linking for easy sharing. Watch as these features are demonstrated by building a [Quick App](/docs/tutorials/0.user-guide.md#quick-apps) for weather retrieval and DIAL information, showcasing how to fine-tune agents and preview responses instantly.
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