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docs: Update README with cross references and resources (#2089)
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README.md

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@@ -247,6 +247,25 @@ When deploying the solution using the "Deploy to Azure" button, you'll see two f
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## Supporting documentation
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### Cross references
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Check out similar solution accelerators
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| Solution Accelerator | Description |
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|---|---|
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|[GPT-RAG Accelerator](https://github.com/Azure/gpt-rag)| Secure enterprise GPT assistant framework that uses Retrieval-Augmented Generation to ground answers on your data. It provides a ready architecture (Azure OpenAI + knowledge search) for building AI chatbots that “know” your enterprise content, with built-in security and scalability.|
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|[Document Processing Accelerator](https://github.com/Azure/doc-proc-solution-accelerator/) | Modular document AI pipeline that automatically extracts, analyzes, and indexes information from unstructured documents (PDFs, images, etc.) at scale. It offers plug-and-play components for OCR, classification, summarization, and integration to search or chatbots – speeding up data ingestion with enterprise security.|
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💡 Want to get familiar with Microsoft's AI and Data Engineering best practices? Check out our playbooks to learn more
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| Playbook | Description |
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|:---|:---|
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| [AI&nbsp;playbook](https://learn.microsoft.com/en-us/ai/playbook/) | The Artificial Intelligence (AI) Playbook provides enterprise software engineers with solutions, capabilities, and code developed to solve real-world AI problems. |
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| [Data&nbsp;playbook](https://learn.microsoft.com/en-us/data-engineering/playbook/understanding-data-playbook) | The data playbook provides enterprise software engineers with solutions which contain code developed to solve real-world problems. Everything in the playbook is developed with, and validated by, some of Microsoft's largest and most influential customers and partners. |
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### Resource links
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This solution accelerator deploys the following resources. It's critical to comprehend the functionality of each. Below are the links to their respective documentation:

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