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SL Migration - RFID Tracking (#236)
* initial commit * added Solutions Overview * added architecture reference * added headers * changed introductory phrase * changed introduction * adapted introduction * add bold in introduction * added RFID meaning * changed headers * added header * header * changed headers * added headers * make bold * changed headers * arranged headers * added key changes * setup initial building the solution * changed introduction * arranged indentation * added headers in building the solution * added building the solution * changed introduction reference architecture * simplified language * simplified language * simplified language * simplified language * simplified language * update code space * added capslock to a prior solution
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source/includes/images/industry-solutions/rfid-product-architecture-2.svg

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source/includes/images/industry-solutions/rfid-product-architecture.svg

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source/solutions-library.txt

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@@ -322,6 +322,15 @@ kick-start their projects.
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Enable real-time order tracking and management across all
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retail channels using MongoDB Atlas.
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.. card::
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:headline: Real-Time Product Tracking
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:url: https://deploy-preview-236--docs-atlas-architecture.netlify.app/solutions-library/retail-asset-rfid-retail/
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:icon: mdb_custom_aggregation
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:icon-alt: Atlas mdb_custom_aggregation icon
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Learn how to build a real-time inventory management system
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with RFID and MongoDB Atlas.
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Gen AI
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------
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source/solutions-library/manufacturing-asset-fleet-management.txt

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:alt: Basic Components of an AI Agent
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Figure 1: Basic components of an AI agent
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.. video:: https://www.youtube.com/watch?v=_CAOb7BR-Rg
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Reference Architecture
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----------------------
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Running the solution
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~~~~~~~~~~~~~~~~~~~~
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**Starting a new diagnosis**
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**Starting a New Diagnosis**
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- Open the frontend and choose “New Diagnosis”.
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- Click the “Run Agent” button and wait for a minute or two as the agent
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finishes its run.
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**Viewing workflow**
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**Viewing Workflow**
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- The workflow, chain-of-thought output, and the final recommendation
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is shown in the left column.
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- The workflow is generated in real time, giving transparency into the
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agent's decision-making process.
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**Reviewing MongoDB documents**
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**Reviewing MongoDB Documents**
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- In the right column, the documents shown are the records inserted during the current agent run:
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- **checkpoints:** (From the checkpointing database) Shows the last saved state for potential recovery.
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**Resume functionality**
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**Resume Functionality**
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- Optionally, we can demonstrate the "Resume Diagnosis" feature by
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entering a thread ID and showing how the system retrieves the

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