VCL Data Grid Example - Add a draft Readme.md

README.md

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-# vcl-grid-smart-semantic-filter
+# DevExpress VCL Data Grid - Smart Semantic AI Filter
+
+This example implements AI-powered filter functionality for the [DevExpress VCL Data Grid](https://docs.devexpress.com/VCL/171093/ExpressQuantumGrid/vcl-data-grid) using a lightweight ONNX model and a BERT tokenizer. Unlike standard search/filter operations available in the DevExpress VCL Data Grid, Smart AI Filter compares strings based on semantic similarities rather than exact matching.
+
+## Third-Party Dependencies
+
+* [TONXRuntime](https://github.com/hshatti/TONNXRuntime)
+* [BertTokenizer4D](https://github.com/Samaliani/BertTokenizer4D)
+
+## Prerequisites
+
+* Microsoft Windows 10 (64-bit) or newer
+* [ONNX Runtime v1.23.0](https://github.com/microsoft/onnxruntime) (required to run on Windows 10)
+* Embarcadero RAD Studio IDE 12 or newer (Community Edition is not supported)
+* DevExpress VCL Components v25.1.5 or newer
+
+## Deploy and Run
+
+1. Clone this repository. Required dependencies automatically appear in **BertTokenizer4D** and **TONNXRuntime** folders.
+2. Open and build the **SimilaritySearch** project (DPR).
+3. If using Windows 10 (64-bit), place the latest version of `onnxruntime.dll` (available in the [official repository](https://github.com/microsoft/onnxruntime)) into the folder that contains the executable file.
+4. Run the sample project.
+
+## Testing the Example
+
+Type a word or phrase into the **Smart Search AI Filter** field and click **Apply**.
+
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-## Does this example address your development requirements/objectives?
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+## Does this example address your development requirements/objectives?
+
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+
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