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Luan Fernandesvmesel
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add dialog architecture image
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‎README.md‎

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@@ -11,9 +11,11 @@ For programmers, who are interested in AI who are deploying RAGs without knowled
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This repository serves an API focused on letting you deploy any LLM you want, based on the structure provided by [dialog-lib](https://github.com/talkdai/dialog-lib).
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We started as a way to humanize RAGs, but we are expanding for broader approaches on better RAG deployment and maintenance.
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We started as a way to humanize RAGs, but we are expanding for broader approaches on better RAG deployment and maintenance. Checkout out our current architecture below and, for more information, check our [documentation](https://dialog.talkd.ai)!
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![architecture](./docs/dialog-architecture.jpg)
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For more information, check our [documentation](https://dialog.talkd.ai)!
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## Running the project
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‎docs/dialog-architecture.jpg‎

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‎docs/quick-start.md‎

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# Quick Start
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## Current Architecture
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The current architecture ilustraded below shows how dialog and dialog-lib serve as base abstractions that define how you deploy RAG LLM Apps with little effort. You can basically focus in maintaining and evolve your knowledge base and prompts, and if necessary you can implement your onw plugins to extend fuctionalities.
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![architecture](./dialog-architecture.jpg)
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## Running the project
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We recommend you use the **docker `compose`** version to set up your environment, as this will simplify the process of setting up the environment and all its dependencies, you just need to **copy and paste** our docker `compose` available below:

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