Added embedding API (#654)

Co-authored-by: Thorsten Sommer <SommerEngineering@users.noreply.github.com>

app/MindWork AI Studio/Assistants/I18N/allTexts.lua

@@ -2170,9 +2170,18 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELAPP::T922066419"]
 -- Administration settings are not visible
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELAPP::T929143445"] = "Administration settings are not visible"
 
+-- Embedding Result
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1387042335"] = "Embedding Result"
+
 -- Delete
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1469573738"] = "Delete"
 
+-- Embed text
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1644934561"] = "Embed text"
+
+-- Test Embedding Provider
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1655784761"] = "Test Embedding Provider"
+
 -- Add Embedding
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1738753945"] = "Add Embedding"
 
@@ -2185,6 +2194,12 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T18253
 -- Add Embedding Provider
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T190634634"] = "Add Embedding Provider"
 
+-- Add text that should be embedded:
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1992646324"] = "Add text that should be embedded:"
+
+-- Embedding Vector (one dimension per line)
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T2174876961"] = "Embedding Vector (one dimension per line)"
+
 -- Model
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T2189814010"] = "Model"
 
@@ -2194,6 +2209,9 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T24199
 -- Name
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T266367750"] = "Name"
 
+-- No embedding was returned.
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T291969"] = "No embedding was returned."
+
 -- Configured Embedding Providers
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T305753126"] = "Configured Embedding Providers"
 
@@ -2203,6 +2221,9 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T32512
 -- Edit
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T3267849393"] = "Edit"
 
+-- Close
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T3448155331"] = "Close"
+
 -- Actions
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T3865031940"] = "Actions"
 
@@ -2224,6 +2245,12 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T51130
 -- Open Dashboard
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T78223861"] = "Open Dashboard"
 
+-- Test
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T805092869"] = "Test"
+
+-- Example text to embed
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T816748904"] = "Example text to embed"
+
 -- Provider
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T900237532"] = "Provider"
 
@@ -3328,6 +3355,12 @@ UI_TEXT_CONTENT["AISTUDIO::DIALOGS::EMBEDDINGPROVIDERDIALOG::T900237532"] = "Pro
 -- Cancel
 UI_TEXT_CONTENT["AISTUDIO::DIALOGS::EMBEDDINGPROVIDERDIALOG::T900713019"] = "Cancel"
 
+-- Embedding Vector
+UI_TEXT_CONTENT["AISTUDIO::DIALOGS::EMBEDDINGRESULTDIALOG::T1173984541"] = "Embedding Vector"
+
+-- Close
+UI_TEXT_CONTENT["AISTUDIO::DIALOGS::EMBEDDINGRESULTDIALOG::T3448155331"] = "Close"
+
 -- Unfortunately, Pandoc's GPL license isn't compatible with the AI Studios licenses. However, software under the GPL is free to use and free of charge. You'll need to accept the GPL license before we can download and install Pandoc for you automatically (recommended). Alternatively, you might download it yourself using the instructions below or install it otherwise, e.g., by using a package manager of your operating system.
 UI_TEXT_CONTENT["AISTUDIO::DIALOGS::PANDOCDIALOG::T1001483402"] = "Unfortunately, Pandoc's GPL license isn't compatible with the AI Studios licenses. However, software under the GPL is free to use and free of charge. You'll need to accept the GPL license before we can download and install Pandoc for you automatically (recommended). Alternatively, you might download it yourself using the instructions below or install it otherwise, e.g., by using a package manager of your operating system."
 

app/MindWork AI Studio/Components/Settings/SettingsPanelEmbeddings.razor

@@ -62,6 +62,9 @@
                             <MudTooltip Text="@T("Delete")">
                                 <MudIconButton Color="Color.Error" Icon="@Icons.Material.Filled.Delete" OnClick="@(() => this.DeleteEmbeddingProvider(context))"/>
                             </MudTooltip>
+                            <MudTooltip Text="@T("Test")">
+                                <MudIconButton Color="Color.Info" Icon="@Icons.Material.Filled.Api" OnClick="@(() => this.TestEmbeddingProvider(context))"/>
+                            </MudTooltip>
                         }
                     </MudStack>
                 </MudTd>

app/MindWork AI Studio/Components/Settings/SettingsPanelEmbeddings.razor.cs

@@ -1,4 +1,6 @@
+using System.Globalization;
 using AIStudio.Dialogs;
+using AIStudio.Provider;
 using AIStudio.Settings;
 
 using Microsoft.AspNetCore.Components;
@@ -134,4 +136,48 @@ public partial class SettingsPanelEmbeddings : SettingsPanelProviderBase
         
         await this.AvailableEmbeddingProvidersChanged.InvokeAsync(this.AvailableEmbeddingProviders);
     }
+
+    private async Task TestEmbeddingProvider(EmbeddingProvider provider)
+    {
+        var dialogParameters = new DialogParameters<SingleInputDialog>
+        {
+            { x => x.ConfirmText, T("Embed text") },
+            { x => x.InputHeaderText, T("Add text that should be embedded:") },
+            { x => x.UserInput, T("Example text to embed") },
+        };
+        
+        var dialogReference = await this.DialogService.ShowAsync<SingleInputDialog>(T("Test Embedding Provider"), dialogParameters, DialogOptions.FULLSCREEN);
+        var dialogResult = await dialogReference.Result;
+        if (dialogResult is null || dialogResult.Canceled)
+            return;
+
+        var inputText = dialogResult.Data as string;
+        if (string.IsNullOrWhiteSpace(inputText))
+            return;
+
+        var embeddingProvider = provider.CreateProvider();
+        var embeddings = await embeddingProvider.EmbedTextAsync(provider.Model, this.SettingsManager, default, new List<string> { inputText });
+
+        if (embeddings.Count == 0)
+        {
+            await this.DialogService.ShowMessageBox(T("Embedding Result"), T("No embedding was returned."), T("Close"));
+            return;
+        }
+
+        var vector = embeddings.FirstOrDefault();
+        if (vector is null || vector.Count == 0)
+        {
+            await this.DialogService.ShowMessageBox(T("Embedding Result"), T("No embedding was returned."), T("Close"));
+            return;
+        }
+
+        var resultText = string.Join(Environment.NewLine, vector.Select(value => value.ToString("G9", CultureInfo.InvariantCulture)));
+        var resultParameters = new DialogParameters<EmbeddingResultDialog>
+        {
+            { x => x.ResultText, resultText },
+            { x => x.ResultLabel, T("Embedding Vector (one dimension per line)") },
+        };
+
+        await this.DialogService.ShowAsync<EmbeddingResultDialog>(T("Embedding Result"), resultParameters, DialogOptions.FULLSCREEN);
+    }
 }

app/MindWork AI Studio/Dialogs/EmbeddingResultDialog.razor

@@ -0,0 +1,22 @@
+@inherits MSGComponentBase
+
+<MudDialog>
+    <DialogContent>
+        <MudTextField
+            T="string"
+            Text="@this.ResultText"
+            Variant="Variant.Outlined"
+            Lines="10"
+            AutoGrow="@true"
+            MaxLines="25"
+            ReadOnly="true"
+            Label="@this.ResultLabelText"
+            AdornmentIcon="@Icons.Material.Filled.DataObject"
+            Adornment="Adornment.Start"/>
+    </DialogContent>
+    <DialogActions>
+        <MudButton OnClick="@this.Close" Variant="Variant.Filled" Color="Color.Primary">
+            @T("Close")
+        </MudButton>
+    </DialogActions>
+</MudDialog>

app/MindWork AI Studio/Dialogs/EmbeddingResultDialog.razor.cs

@@ -0,0 +1,21 @@
+using AIStudio.Components;
+
+using Microsoft.AspNetCore.Components;
+
+namespace AIStudio.Dialogs;
+
+public partial class EmbeddingResultDialog : MSGComponentBase
+{
+    [CascadingParameter]
+    private IMudDialogInstance MudDialog { get; set; } = null!;
+
+    [Parameter]
+    public string ResultText { get; set; } = string.Empty;
+
+    [Parameter]
+    public string ResultLabel { get; set; } = string.Empty;
+
+    private string ResultLabelText => string.IsNullOrWhiteSpace(this.ResultLabel) ? T("Embedding Vector") : this.ResultLabel;
+
+    private void Close() => this.MudDialog.Close();
+}

app/MindWork AI Studio/Plugins/languages/de-de-43065dbc-78d0-45b7-92be-f14c2926e2dc/plugin.lua

@@ -1812,7 +1812,7 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::MOTIVATION::T1986314327"] = "Demokratisie
 -- While exploring available solutions, I found a desktop application called Anything LLM. Unfortunately, it fell short of meeting my specific requirements and lacked the user interface design I envisioned. For macOS, there were several apps similar to what I had in mind, but they were all commercial solutions shrouded in uncertainty. The developers' identities and the origins of these apps were unclear, raising significant security concerns. Reports from users about stolen API keys and unwanted charges only amplified my reservations.
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::MOTIVATION::T3552777197"] = "Während ich nach passenden Lösungen suchte, stieß ich auf eine Desktop-Anwendung namens Anything LLM. Leider konnte sie meine spezifischen Anforderungen nicht erfüllen und entsprach auch nicht dem Benutzeroberflächendesign, das ich mir vorgestellt hatte. Für macOS gab es zwar mehrere Apps, die meiner Vorstellung ähnelten, aber sie waren allesamt kostenpflichtige Lösungen mit unklarer Herkunft. Die Identität der Entwickler und die Ursprünge dieser Apps waren nicht ersichtlich, was erhebliche Sicherheitsbedenken hervorrief. Berichte von Nutzern über gestohlene API-Schlüssel und unerwünschte Abbuchungen verstärkten meine Bedenken zusätzlich."
 
--- We also want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 EUR such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs for your first steps or use affordable cloud models. MindWork AI Studio itself is available free of charge.
+-- We also want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 € such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs for your first steps or use affordable cloud models. MindWork AI Studio itself is available free of charge.
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::MOTIVATION::T3672974243"] = "Wir möchten auch zur Demokratisierung von KI beitragen. MindWork AI Studio läuft selbst auf kostengünstiger Hardware, einschließlich Computern für rund 100 € wie dem Raspberry Pi. Dadurch sind die App und ihr voller Funktionsumfang auch für Menschen und Familien mit begrenztem Budget zugänglich. Für Ihre ersten Schritte können Sie mit lokalen LLMs beginnen oder günstige Cloud-Modelle nutzen. MindWork AI Studio selbst ist kostenlos erhältlich."
 
 -- Relying on web services like ChatGPT was not a sustainable solution for me. I needed an AI that could also access files directly on my device, a functionality web services inherently lack due to security and privacy constraints. Although I could have scripted something in Python to meet my needs, this approach was too cumbersome for daily use. More importantly, I wanted to develop a solution that anyone could use without needing any programming knowledge.
@@ -2172,9 +2172,18 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELAPP::T922066419"]
 -- Administration settings are not visible
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELAPP::T929143445"] = "Die Optionen für die Administration sind nicht sichtbar."
 
+-- Embedding Result
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1387042335"] = "Einbettungsergebnis"
+
 -- Delete
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1469573738"] = "Löschen"
 
+-- Embed text
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1644934561"] = "Text einbetten"
+
+-- Test Embedding Provider
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1655784761"] = "Anbieter für Einbettung testen"
+
 -- Add Embedding
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1738753945"] = "Einbettung hinzufügen"
 
@@ -2187,6 +2196,12 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T18253
 -- Add Embedding Provider
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T190634634"] = "Einbettungsanbieter hinzufügen"
 
+-- Add text that should be embedded:
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1992646324"] = "Text zum Einbetten eingeben:"
+
+-- Embedding Vector (one dimension per line)
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T2174876961"] = "Einbettungsvektor (eine Dimension pro Zeile)"
+
 -- Model
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T2189814010"] = "Modell"
 
@@ -2196,6 +2211,9 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T24199
 -- Name
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T266367750"] = "Name"
 
+-- No embedding was returned.
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T291969"] = "Es wurde keine Einbettung zurückgegeben."
+
 -- Configured Embedding Providers
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T305753126"] = "Konfigurierte Anbieter für Einbettungen"
 
@@ -2205,6 +2223,9 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T32512
 -- Edit
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T3267849393"] = "Bearbeiten"
 
+-- Close
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T3448155331"] = "Schließen"
+
 -- Actions
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T3865031940"] = "Aktionen"
 
@@ -2226,6 +2247,12 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T51130
 -- Open Dashboard
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T78223861"] = "Dashboard öffnen"
 
+-- Test
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T805092869"] = "Testen"
+
+-- Example text to embed
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T816748904"] = "Beispieltext zum Einbetten"
+
 -- Provider
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T900237532"] = "Anbieter"
 
@@ -2448,7 +2475,7 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::VISION::T1986314327"] = "Demokratisierung
 -- Whatever your job or task is, MindWork AI Studio aims to meet your needs: whether you're a project manager, scientist, artist, author, software developer, or game developer.
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::VISION::T2144737937"] = "Was auch immer ihr Beruf oder ihre Aufgabe ist, MindWork AI Studio möchte ihre Bedürfnisse erfüllen: Egal, ob Sie Projektmanager, Wissenschaftler, Künstler, Autor, Softwareentwickler oder Spieleentwickler sind."
 
--- We want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 EUR such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs or use affordable cloud models. MindWork AI Studio itself is available free of charge.
+-- We want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 € such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs or use affordable cloud models. MindWork AI Studio itself is available free of charge.
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::VISION::T2201645589"] = "Wir möchten zur Demokratisierung von KI beitragen. MindWork AI Studio läuft sogar auf kostengünstiger Hardware, einschließlich Computern für etwa 100 € wie dem Raspberry Pi. Dadurch werden die App und ihr voller Funktionsumfang auch für Menschen und Familien mit begrenztem Budget zugänglich. Sie können mit lokalen LLMs starten oder günstige Cloud-Modelle nutzen. MindWork AI Studio selbst ist kostenlos erhältlich."
 
 -- You can connect your email inboxes with AI Studio. The AI will read your emails and notify you of important events. You'll also be able to access knowledge from your emails in your chats.
@@ -3330,6 +3357,12 @@ UI_TEXT_CONTENT["AISTUDIO::DIALOGS::EMBEDDINGPROVIDERDIALOG::T900237532"] = "Anb
 -- Cancel
 UI_TEXT_CONTENT["AISTUDIO::DIALOGS::EMBEDDINGPROVIDERDIALOG::T900713019"] = "Abbrechen"
 
+-- Embedding Vector
+UI_TEXT_CONTENT["AISTUDIO::DIALOGS::EMBEDDINGRESULTDIALOG::T1173984541"] = "Einbettungsvektor"
+
+-- Close
+UI_TEXT_CONTENT["AISTUDIO::DIALOGS::EMBEDDINGRESULTDIALOG::T3448155331"] = "Schließen"
+
 -- Unfortunately, Pandoc's GPL license isn't compatible with the AI Studios licenses. However, software under the GPL is free to use and free of charge. You'll need to accept the GPL license before we can download and install Pandoc for you automatically (recommended). Alternatively, you might download it yourself using the instructions below or install it otherwise, e.g., by using a package manager of your operating system.
 UI_TEXT_CONTENT["AISTUDIO::DIALOGS::PANDOCDIALOG::T1001483402"] = "Leider ist die GPL-Lizenz von Pandoc nicht mit der Lizenz von AI Studio kompatibel. Software unter der GPL-Lizenz ist jedoch kostenlos und frei nutzbar. Sie müssen die GPL-Lizenz akzeptieren, bevor wir Pandoc automatisch für Sie herunterladen und installieren können (empfohlen). Alternativ können Sie Pandoc auch selbst herunterladen – entweder mit den untenstehenden Anweisungen oder auf anderem Weg, zum Beispiel über den Paketmanager Ihres Betriebssystems."
 
@@ -4995,7 +5028,7 @@ UI_TEXT_CONTENT["AISTUDIO::PAGES::HOME::T149711988"] = "Sie zahlen nur für das,
 -- Assistants
 UI_TEXT_CONTENT["AISTUDIO::PAGES::HOME::T1614176092"] = "Assistenten"
 
--- We want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 EUR such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs or use affordable cloud models.
+-- We want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 € such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs or use affordable cloud models.
 UI_TEXT_CONTENT["AISTUDIO::PAGES::HOME::T1628689293"] = "Wir möchten zur Demokratisierung von KI beitragen. MindWork AI Studio läuft sogar auf kostengünstiger Hardware, einschließlich Computern für etwa 100 € wie dem Raspberry Pi. Dadurch werden die App und ihr vollständiger Funktionsumfang auch für Menschen und Familien mit begrenztem Budget zugänglich. Sie können mit lokalen LLMs starten oder günstige Cloud-Modelle nutzen."
 
 -- Unrestricted usage

app/MindWork AI Studio/Plugins/languages/en-us-97dfb1ba-50c4-4440-8dfa-6575daf543c8/plugin.lua

@@ -1812,7 +1812,7 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::MOTIVATION::T1986314327"] = "Democratizat
 -- While exploring available solutions, I found a desktop application called Anything LLM. Unfortunately, it fell short of meeting my specific requirements and lacked the user interface design I envisioned. For macOS, there were several apps similar to what I had in mind, but they were all commercial solutions shrouded in uncertainty. The developers' identities and the origins of these apps were unclear, raising significant security concerns. Reports from users about stolen API keys and unwanted charges only amplified my reservations.
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::MOTIVATION::T3552777197"] = "While exploring available solutions, I found a desktop application called Anything LLM. Unfortunately, it fell short of meeting my specific requirements and lacked the user interface design I envisioned. For macOS, there were several apps similar to what I had in mind, but they were all commercial solutions shrouded in uncertainty. The developers' identities and the origins of these apps were unclear, raising significant security concerns. Reports from users about stolen API keys and unwanted charges only amplified my reservations."
 
--- We also want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 EUR such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs for your first steps or use affordable cloud models. MindWork AI Studio itself is available free of charge.
+-- We also want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 € such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs for your first steps or use affordable cloud models. MindWork AI Studio itself is available free of charge.
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::MOTIVATION::T3672974243"] = "We also want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 € such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs for your first steps or use affordable cloud models. MindWork AI Studio itself is available free of charge."
 
 -- Relying on web services like ChatGPT was not a sustainable solution for me. I needed an AI that could also access files directly on my device, a functionality web services inherently lack due to security and privacy constraints. Although I could have scripted something in Python to meet my needs, this approach was too cumbersome for daily use. More importantly, I wanted to develop a solution that anyone could use without needing any programming knowledge.
@@ -2172,9 +2172,18 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELAPP::T922066419"]
 -- Administration settings are not visible
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELAPP::T929143445"] = "Administration settings are not visible"
 
+-- Embedding Result
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1387042335"] = "Embedding Result"
+
 -- Delete
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1469573738"] = "Delete"
 
+-- Embed text
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1644934561"] = "Embed text"
+
+-- Test Embedding Provider
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1655784761"] = "Test Embedding Provider"
+
 -- Add Embedding
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1738753945"] = "Add Embedding"
 
@@ -2187,6 +2196,12 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T18253
 -- Add Embedding Provider
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T190634634"] = "Add Embedding Provider"
 
+-- Add text that should be embedded:
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1992646324"] = "Add text that should be embedded:"
+
+-- Embedding Vector (one dimension per line)
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T2174876961"] = "Embedding Vector (one dimension per line)"
+
 -- Model
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T2189814010"] = "Model"
 
@@ -2196,6 +2211,9 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T24199
 -- Name
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T266367750"] = "Name"
 
+-- No embedding was returned.
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T291969"] = "No embedding was returned."
+
 -- Configured Embedding Providers
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T305753126"] = "Configured Embedding Providers"
 
@@ -2205,6 +2223,9 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T32512
 -- Edit
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T3267849393"] = "Edit"
 
+-- Close
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T3448155331"] = "Close"
+
 -- Actions
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T3865031940"] = "Actions"
 
@@ -2226,6 +2247,12 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T51130
 -- Open Dashboard
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T78223861"] = "Open Dashboard"
 
+-- Test
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T805092869"] = "Test"
+
+-- Example text to embed
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T816748904"] = "Example text to embed"
+
 -- Provider
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T900237532"] = "Provider"
 
@@ -2448,7 +2475,7 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::VISION::T1986314327"] = "Democratization
 -- Whatever your job or task is, MindWork AI Studio aims to meet your needs: whether you're a project manager, scientist, artist, author, software developer, or game developer.
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::VISION::T2144737937"] = "Whatever your job or task is, MindWork AI Studio aims to meet your needs: whether you're a project manager, scientist, artist, author, software developer, or game developer."
 
--- We want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 EUR such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs or use affordable cloud models. MindWork AI Studio itself is available free of charge.
+-- We want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 € such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs or use affordable cloud models. MindWork AI Studio itself is available free of charge.
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::VISION::T2201645589"] = "We want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 € such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs or use affordable cloud models. MindWork AI Studio itself is available free of charge."
 
 -- You can connect your email inboxes with AI Studio. The AI will read your emails and notify you of important events. You'll also be able to access knowledge from your emails in your chats.
@@ -3330,6 +3357,12 @@ UI_TEXT_CONTENT["AISTUDIO::DIALOGS::EMBEDDINGPROVIDERDIALOG::T900237532"] = "Pro
 -- Cancel
 UI_TEXT_CONTENT["AISTUDIO::DIALOGS::EMBEDDINGPROVIDERDIALOG::T900713019"] = "Cancel"
 
+-- Embedding Vector
+UI_TEXT_CONTENT["AISTUDIO::DIALOGS::EMBEDDINGRESULTDIALOG::T1173984541"] = "Embedding Vector"
+
+-- Close
+UI_TEXT_CONTENT["AISTUDIO::DIALOGS::EMBEDDINGRESULTDIALOG::T3448155331"] = "Close"
+
 -- Unfortunately, Pandoc's GPL license isn't compatible with the AI Studios licenses. However, software under the GPL is free to use and free of charge. You'll need to accept the GPL license before we can download and install Pandoc for you automatically (recommended). Alternatively, you might download it yourself using the instructions below or install it otherwise, e.g., by using a package manager of your operating system.
 UI_TEXT_CONTENT["AISTUDIO::DIALOGS::PANDOCDIALOG::T1001483402"] = "Unfortunately, Pandoc's GPL license isn't compatible with the AI Studios licenses. However, software under the GPL is free to use and free of charge. You'll need to accept the GPL license before we can download and install Pandoc for you automatically (recommended). Alternatively, you might download it yourself using the instructions below or install it otherwise, e.g., by using a package manager of your operating system."
 
@@ -4995,7 +5028,7 @@ UI_TEXT_CONTENT["AISTUDIO::PAGES::HOME::T149711988"] = "You only pay for what yo
 -- Assistants
 UI_TEXT_CONTENT["AISTUDIO::PAGES::HOME::T1614176092"] = "Assistants"
 
--- We want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 EUR such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs or use affordable cloud models.
+-- We want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 € such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs or use affordable cloud models.
 UI_TEXT_CONTENT["AISTUDIO::PAGES::HOME::T1628689293"] = "We want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 € such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs or use affordable cloud models."
 
 -- Unrestricted usage

app/MindWork AI Studio/Provider/AlibabaCloud/ProviderAlibabaCloud.cs

@@ -86,6 +86,13 @@ public sealed class ProviderAlibabaCloud() : BaseProvider(LLMProviders.ALIBABA_C
     {
         return Task.FromResult(string.Empty);
     }
+    
+    /// <inhertidoc />
+    public override async Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        var requestedSecret = await RUST_SERVICE.GetAPIKey(this, SecretStoreType.EMBEDDING_PROVIDER);
+        return await this.PerformStandardTextEmbeddingRequest(requestedSecret, embeddingModel, token: token, texts: texts);
+    }
 
     /// <inheritdoc />
     public override Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)

app/MindWork AI Studio/Provider/Anthropic/ProviderAnthropic.cs

@@ -113,6 +113,12 @@ public sealed class ProviderAnthropic() : BaseProvider(LLMProviders.ANTHROPIC, "
     {
         return Task.FromResult(string.Empty);
     }
+    
+    /// <inhertidoc />
+    public override Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        return Task.FromResult<IReadOnlyList<IReadOnlyList<float>>>([]);
+    }
 
     /// <inheritdoc />
     public override Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)

app/MindWork AI Studio/Provider/BaseProvider.cs

@@ -1,6 +1,7 @@
 using System.Net;
 using System.Net.Http.Headers;
 using System.Runtime.CompilerServices;
+using System.Text;
 using System.Text.Json;
 using System.Text.Json.Serialization;
 
@@ -98,6 +99,9 @@ public abstract class BaseProvider : IProvider, ISecretId
     /// <inheritdoc />
     public abstract Task<string> TranscribeAudioAsync(Model transcriptionModel, string audioFilePath, SettingsManager settingsManager, CancellationToken token = default);
     
+    /// <inheritdoc />
+    public abstract Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts);
+    
     /// <inheritdoc />
     public abstract Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default);
     
@@ -645,6 +649,81 @@ public abstract class BaseProvider : IProvider, ISecretId
         }
     }
     
+    protected async Task<IReadOnlyList<IReadOnlyList<float>>> PerformStandardTextEmbeddingRequest(RequestedSecret requestedSecret, Model embeddingModel, Host host = Host.NONE, CancellationToken token = default, params List<string> texts)
+    {
+        try
+        {
+            //
+            // Add the model name to the form data. Ensure that a model name is always provided.
+            // Otherwise, the StringContent constructor will throw an exception.
+            //
+            var modelName = embeddingModel.Id;
+            if (string.IsNullOrWhiteSpace(modelName))
+                modelName = "placeholder";
+            
+            // Prepare the HTTP embedding request:
+            var payload = new
+            {
+                model = modelName,
+                input = texts,
+                encoding_format = "float"
+            };
+            
+            var embeddingRequest = JsonSerializer.Serialize(payload, JSON_SERIALIZER_OPTIONS);
+            using var request = new HttpRequestMessage(HttpMethod.Post, host.EmbeddingURL());
+
+            // Handle the authorization header based on the provider:
+            switch (this.Provider)
+            {
+                case LLMProviders.SELF_HOSTED:
+                    if(requestedSecret.Success)
+                        request.Headers.Authorization = new AuthenticationHeaderValue("Bearer", await requestedSecret.Secret.Decrypt(ENCRYPTION));
+                    
+                    break;
+                
+                default:
+                    if(!requestedSecret.Success)
+                    {
+                        this.logger.LogError("No valid API key available for embedding request.");
+                        return [];
+                    }
+                    
+                    request.Headers.Authorization = new AuthenticationHeaderValue("Bearer", await requestedSecret.Secret.Decrypt(ENCRYPTION));
+                    break;
+            }
+            
+            // Set the content:
+            request.Content = new StringContent(embeddingRequest, Encoding.UTF8, "application/json");
+            using var response = await this.httpClient.SendAsync(request, token);
+            var responseBody = response.Content.ReadAsStringAsync(token).Result;
+        
+            if (!response.IsSuccessStatusCode)
+            {
+                this.logger.LogError("Embedding request failed with status code {ResponseStatusCode} and body: '{ResponseBody}'.", response.StatusCode, responseBody);
+                return [];
+            }
+
+            var embeddingResponse = JsonSerializer.Deserialize<EmbeddingResponse>(responseBody, JSON_SERIALIZER_OPTIONS);
+            if (embeddingResponse is { Data: not null })
+            {
+                return embeddingResponse.Data
+                    .Select(d => d.Embedding?.ToArray() ?? [])
+                    .Cast<IReadOnlyList<float>>()
+                    .ToArray();
+            }
+            else
+            {
+                this.logger.LogError("Was not able to deserialize the embedding response.");
+                return [];
+            }
+        }
+        catch (Exception e)
+        {
+            this.logger.LogError("Failed to perform embedding request: '{Message}'.", e.Message);
+            return [];
+        }
+    }
+    
     /// <summary>
     /// Parse and convert API parameters from a provided JSON string into a dictionary,
     /// optionally merging additional parameters and removing specific keys.

app/MindWork AI Studio/Provider/DeepSeek/ProviderDeepSeek.cs

@@ -86,6 +86,12 @@ public sealed class ProviderDeepSeek() : BaseProvider(LLMProviders.DEEP_SEEK, "h
     {
         return Task.FromResult(string.Empty);
     }
+    
+    /// <inhertidoc />
+    public override Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        return Task.FromResult<IReadOnlyList<IReadOnlyList<float>>>([]);
+    }
 
     /// <inheritdoc />
     public override Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)

app/MindWork AI Studio/Provider/EmbeddingData.cs

@@ -0,0 +1,12 @@
+// ReSharper disable CollectionNeverUpdated.Global
+namespace AIStudio.Provider;
+
+// ReSharper disable once ClassNeverInstantiated.Global
+public sealed record EmbeddingData
+{
+    public string? Object { get; set; }
+    
+    public List<float>? Embedding { get; set; }
+    
+    public int? Index { get; set; }
+}

app/MindWork AI Studio/Provider/EmbeddingResponse.cs

@@ -0,0 +1,14 @@
+namespace AIStudio.Provider;
+
+public sealed record EmbeddingResponse
+{
+    public string? Id { get; init; }
+    
+    public string? Object { get; init; }
+    
+    public List<EmbeddingData>? Data { get; init; }
+    
+    public string? Model { get; init; }
+    
+    public EmbeddingUsage? Usage { get; init; }
+}

app/MindWork AI Studio/Provider/EmbeddingUsage.cs

@@ -0,0 +1,11 @@
+// ReSharper disable ClassNeverInstantiated.Global
+namespace AIStudio.Provider;
+
+public sealed record EmbeddingUsage
+{
+    public int? PromptTokens { get; set; }
+    
+    public int? TotalTokens { get; set; }
+    
+    public int? CompletionTokens { get; set; }
+}

app/MindWork AI Studio/Provider/Fireworks/ProviderFireworks.cs

@@ -88,6 +88,12 @@ public class ProviderFireworks() : BaseProvider(LLMProviders.FIREWORKS, "https:/
         var requestedSecret = await RUST_SERVICE.GetAPIKey(this, SecretStoreType.TRANSCRIPTION_PROVIDER);
         return await this.PerformStandardTranscriptionRequest(requestedSecret, transcriptionModel, audioFilePath, token: token);
     }
+    
+    /// <inhertidoc />
+    public override Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        return Task.FromResult<IReadOnlyList<IReadOnlyList<float>>>([]);
+    }
 
     /// <inheritdoc />
     public override Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)

app/MindWork AI Studio/Provider/GWDG/ProviderGWDG.cs

@@ -87,6 +87,12 @@ public sealed class ProviderGWDG() : BaseProvider(LLMProviders.GWDG, "https://ch
         var requestedSecret = await RUST_SERVICE.GetAPIKey(this, SecretStoreType.TRANSCRIPTION_PROVIDER);
         return await this.PerformStandardTranscriptionRequest(requestedSecret, transcriptionModel, audioFilePath, token: token);
     }
+    
+    /// <inhertidoc />
+    public override Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        return Task.FromResult<IReadOnlyList<IReadOnlyList<float>>>([]);
+    }
 
     /// <inheritdoc />
     public override async Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)

app/MindWork AI Studio/Provider/Google/GoogleEmbedding.cs

@@ -0,0 +1,6 @@
+namespace AIStudio.Provider.Google;
+
+public sealed record GoogleEmbedding
+{
+    public List<float>? Values { get; init; }
+}

app/MindWork AI Studio/Provider/Google/GoogleEmbeddingResponse.cs

@@ -0,0 +1,30 @@
+using System.Text.Json;
+using System.Text.Json.Serialization;
+
+namespace AIStudio.Provider.Google;
+
+public sealed record GoogleEmbeddingResponse
+{
+    [JsonConverter(typeof(GoogleEmbeddingListConverter))]
+    public List<GoogleEmbedding>? Embedding { get; init; }
+
+    private sealed class GoogleEmbeddingListConverter : JsonConverter<List<GoogleEmbedding>>
+    {
+        public override List<GoogleEmbedding> Read(ref Utf8JsonReader reader, Type typeToConvert, JsonSerializerOptions options)
+        {
+            if (reader.TokenType == JsonTokenType.StartObject)
+            {
+                var single = JsonSerializer.Deserialize<GoogleEmbedding>(ref reader, options);
+                return single is null ? new() : new() { single };
+            }
+
+            if (reader.TokenType == JsonTokenType.StartArray)
+                return JsonSerializer.Deserialize<List<GoogleEmbedding>>(ref reader, options) ?? new();
+
+            throw new JsonException("Expected object or array for embedding.");
+        }
+
+        public override void Write(Utf8JsonWriter writer, List<GoogleEmbedding> value, JsonSerializerOptions options) =>
+            JsonSerializer.Serialize(writer, value, options);
+    }
+}

app/MindWork AI Studio/Provider/Google/ProviderGoogle.cs

@@ -87,6 +87,78 @@ public class ProviderGoogle() : BaseProvider(LLMProviders.GOOGLE, "https://gener
     {
         return Task.FromResult(string.Empty);
     }
+    
+    /// <inhertidoc />
+    public override async Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        var requestedSecret = await RUST_SERVICE.GetAPIKey(this, SecretStoreType.EMBEDDING_PROVIDER);
+        try
+        {
+            var modelName = embeddingModel.Id;
+            if (string.IsNullOrWhiteSpace(modelName))
+            {
+                LOGGER.LogError("No model name provided for embedding request.");
+                return [];
+            }
+
+            if (modelName.StartsWith("models/", StringComparison.OrdinalIgnoreCase))
+                modelName = modelName.Substring("models/".Length);
+
+            if (!requestedSecret.Success)
+            {
+                LOGGER.LogError("No valid API key available for embedding request.");
+                return [];
+            }
+            
+            // Prepare the Google Gemini embedding request:
+            var payload = new
+            {
+                content = new
+                {
+                    parts = texts.Select(text => new { text }).ToArray()
+                },
+                
+                taskType = "SEMANTIC_SIMILARITY"
+            };
+            
+            var embeddingRequest = JsonSerializer.Serialize(payload, JSON_SERIALIZER_OPTIONS);
+            var embedUrl = $"https://generativelanguage.googleapis.com/v1beta/models/{modelName}:embedContent";
+            using var request = new HttpRequestMessage(HttpMethod.Post, embedUrl);
+            request.Headers.Add("x-goog-api-key", await requestedSecret.Secret.Decrypt(ENCRYPTION));
+            
+            // Set the content:
+            request.Content = new StringContent(embeddingRequest, Encoding.UTF8, "application/json");
+            
+            using var response = await this.httpClient.SendAsync(request, token);
+            var responseBody = await response.Content.ReadAsStringAsync(token);
+        
+            if (!response.IsSuccessStatusCode)
+            {
+                LOGGER.LogError("Embedding request failed with status code {ResponseStatusCode} and body: '{ResponseBody}'.", response.StatusCode, responseBody);
+                return [];
+            }
+
+            var embeddingResponse = JsonSerializer.Deserialize<GoogleEmbeddingResponse>(responseBody, JSON_SERIALIZER_OPTIONS);
+            if (embeddingResponse is { Embedding: not null })
+            {
+                return embeddingResponse.Embedding
+                    .Select(d => d.Values?.ToArray() ?? [])
+                    .Cast<IReadOnlyList<float>>()
+                    .ToArray();
+            }
+            else
+            {
+                LOGGER.LogError("Was not able to deserialize the embedding response.");
+                return [];
+            }
+            
+        }
+        catch (Exception e)
+        {
+            LOGGER.LogError("Failed to perform embedding request: '{Message}'.", e.Message);
+            return [];
+        }
+    }
 
     /// <inheritdoc />
     public override async Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)

app/MindWork AI Studio/Provider/Groq/ProviderGroq.cs

@@ -87,6 +87,12 @@ public class ProviderGroq() : BaseProvider(LLMProviders.GROQ, "https://api.groq.
     {
         return Task.FromResult(string.Empty);
     }
+    
+    /// <inhertidoc />
+    public override Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        return Task.FromResult<IReadOnlyList<IReadOnlyList<float>>>([]);
+    }
 
     /// <inheritdoc />
     public override Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)

app/MindWork AI Studio/Provider/Helmholtz/ProviderHelmholtz.cs

@@ -86,6 +86,13 @@ public sealed class ProviderHelmholtz() : BaseProvider(LLMProviders.HELMHOLTZ, "
     {
         return Task.FromResult(string.Empty);
     }
+    
+    /// <inhertidoc />
+    public override async Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        var requestedSecret = await RUST_SERVICE.GetAPIKey(this, SecretStoreType.EMBEDDING_PROVIDER);
+        return await this.PerformStandardTextEmbeddingRequest(requestedSecret, embeddingModel, token: token, texts: texts);
+    }
 
     /// <inheritdoc />
     public override async Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)

app/MindWork AI Studio/Provider/HuggingFace/ProviderHuggingFace.cs

@@ -91,6 +91,12 @@ public sealed class ProviderHuggingFace : BaseProvider
     {
         return Task.FromResult(string.Empty);
     }
+    
+    /// <inhertidoc />
+    public override Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        return Task.FromResult<IReadOnlyList<IReadOnlyList<float>>>([]);
+    }
 
     /// <inheritdoc />
     public override Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)

app/MindWork AI Studio/Provider/IProvider.cs

@@ -59,6 +59,16 @@ public interface IProvider
     /// <param name="token">The cancellation token.</param>
     /// <returns>>The transcription result.</returns>
     public Task<string> TranscribeAudioAsync(Model transcriptionModel, string audioFilePath, SettingsManager settingsManager, CancellationToken token = default);
+        
+    /// <summary>
+    /// Embed a text file.
+    /// </summary>
+    /// <param name="embeddingModel">The model to use for embedding.</param>
+    /// <param name="settingsManager">The settings manager instance to use.</param>
+    /// <param name="token">The cancellation token.</param>
+    /// /// <param name="texts">A single string or a list of strings to embed.</param>
+    /// <returns>>The embedded text as a single vector or as a list of vectors.</returns>
+    public Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts);
     
     /// <summary>
     /// Load all possible text models that can be used with this provider.

app/MindWork AI Studio/Provider/Mistral/ProviderMistral.cs

@@ -89,6 +89,13 @@ public sealed class ProviderMistral() : BaseProvider(LLMProviders.MISTRAL, "http
         return await this.PerformStandardTranscriptionRequest(requestedSecret, transcriptionModel, audioFilePath, token: token);
     }
 
+    /// <inhertidoc />
+    public override async Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Provider.Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        var requestedSecret = await RUST_SERVICE.GetAPIKey(this, SecretStoreType.EMBEDDING_PROVIDER);
+        return await this.PerformStandardTextEmbeddingRequest(requestedSecret, embeddingModel, token: token, texts: texts);
+    }
+
     /// <inheritdoc />
     public override async Task<IEnumerable<Provider.Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)
     {

app/MindWork AI Studio/Provider/NoProvider.cs

@@ -40,6 +40,8 @@ public class NoProvider : IProvider
 
     public Task<string> TranscribeAudioAsync(Model transcriptionModel, string audioFilePath, SettingsManager settingsManager, CancellationToken token = default) => Task.FromResult(string.Empty);
     
+    public Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts) => Task.FromResult<IReadOnlyList<IReadOnlyList<float>>>([]);
+
     public IReadOnlyCollection<Capability> GetModelCapabilities(Model model) => [ Capability.NONE ];
 
     #endregion

app/MindWork AI Studio/Provider/OpenAI/ProviderOpenAI.cs

@@ -224,6 +224,13 @@ public sealed class ProviderOpenAI() : BaseProvider(LLMProviders.OPEN_AI, "https
         var requestedSecret = await RUST_SERVICE.GetAPIKey(this, SecretStoreType.TRANSCRIPTION_PROVIDER);
         return await this.PerformStandardTranscriptionRequest(requestedSecret, transcriptionModel, audioFilePath, token: token);
     }
+    
+    /// <inhertidoc />
+    public override async Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        var requestedSecret = await RUST_SERVICE.GetAPIKey(this, SecretStoreType.EMBEDDING_PROVIDER);
+        return await this.PerformStandardTextEmbeddingRequest(requestedSecret, embeddingModel, token: token, texts: texts);
+    }
 
     /// <inheritdoc />
     public override async Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)

app/MindWork AI Studio/Provider/OpenRouter/ProviderOpenRouter.cs

@@ -94,6 +94,13 @@ public sealed class ProviderOpenRouter() : BaseProvider(LLMProviders.OPEN_ROUTER
     {
         return Task.FromResult(string.Empty);
     }
+    
+    /// <inhertidoc />
+    public override async Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        var requestedSecret = await RUST_SERVICE.GetAPIKey(this, SecretStoreType.EMBEDDING_PROVIDER);
+        return await this.PerformStandardTextEmbeddingRequest(requestedSecret, embeddingModel, token: token, texts: texts);
+    }
 
     /// <inheritdoc />
     public override Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)

app/MindWork AI Studio/Provider/Perplexity/ProviderPerplexity.cs

@@ -94,6 +94,12 @@ public sealed class ProviderPerplexity() : BaseProvider(LLMProviders.PERPLEXITY,
     {
         return Task.FromResult(string.Empty);
     }
+    
+    /// <inhertidoc />
+    public override Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        return Task.FromResult<IReadOnlyList<IReadOnlyList<float>>>([]);
+    }
 
     /// <inheritdoc />
     public override Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)

app/MindWork AI Studio/Provider/SelfHosted/HostExtensions.cs

@@ -30,6 +30,11 @@ public static class HostExtensions
         _ => "audio/transcriptions",
     };
     
+    public static string EmbeddingURL(this Host host) => host switch
+    {
+        _ => "embeddings",
+    };
+    
     public static bool IsChatSupported(this Host host)
     {
         switch (host)

app/MindWork AI Studio/Provider/SelfHosted/ProviderSelfHosted.cs

@@ -95,6 +95,13 @@ public sealed class ProviderSelfHosted(Host host, string hostname) : BaseProvide
         return await this.PerformStandardTranscriptionRequest(requestedSecret, transcriptionModel, audioFilePath, host, token);
     }
     
+    /// <inhertidoc />
+    public override async Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Provider.Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        var requestedSecret = await RUST_SERVICE.GetAPIKey(this, SecretStoreType.EMBEDDING_PROVIDER);
+        return await this.PerformStandardTextEmbeddingRequest(requestedSecret, embeddingModel, token: token, texts: texts);
+    }
+    
     public override async Task<IEnumerable<Provider.Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)
     {
         try

app/MindWork AI Studio/Provider/X/ProviderX.cs

@@ -88,6 +88,12 @@ public sealed class ProviderX() : BaseProvider(LLMProviders.X, "https://api.x.ai
         return Task.FromResult(string.Empty);
     }
     
+    /// <inhertidoc />
+    public override Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        return Task.FromResult<IReadOnlyList<IReadOnlyList<float>>>([]);
+    }
+    
     /// <inheritdoc />
     public override async Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)
     {

app/MindWork AI Studio/wwwroot/changelog/v26.2.2.md

@@ -1,5 +1,6 @@
 # v26.2.2, build 234 (2026-02-xx xx:xx UTC)
 - Added a vector database (Qdrant) as a building block for our local RAG (retrieval-augmented generation) solution. Thank you very much, Paul (`PaulKoudelka`), for this major contribution. Note that our local RAG implementation remained in preview and has not yet been released; other building blocks are not yet ready.
+- Added an option in the embedding providers table to test the embedding process.
 - Added an app setting to enable administration options for IT staff to configure and maintain organization-wide settings.
 - Added an option to export all provider types (LLMs, embeddings, transcriptions) so you can use them in a configuration plugin. You'll be asked if you want to export the related API key too. API keys will be encrypted in the export. This feature only shows up when administration options are enabled.
 - Added an option in the app settings to create an encryption secret, which is required to encrypt values (for example, API keys) in configuration plugins. This feature only shows up when administration options are enabled.