EasyAppDev.Blazor.AutoComplete.AI.AzureSearch 1.0.6

.NET 8.0 This package targets .NET 8.0. The package is compatible with this framework or higher.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package EasyAppDev.Blazor.AutoComplete.AI.AzureSearch --version 1.0.6
                    


                    

                
NuGet\Install-Package EasyAppDev.Blazor.AutoComplete.AI.AzureSearch -Version 1.0.6
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="EasyAppDev.Blazor.AutoComplete.AI.AzureSearch" Version="1.0.6" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="EasyAppDev.Blazor.AutoComplete.AI.AzureSearch" Version="1.0.6" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="EasyAppDev.Blazor.AutoComplete.AI.AzureSearch" />
                    


                            Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package. 
paket add EasyAppDev.Blazor.AutoComplete.AI.AzureSearch --version 1.0.6
                    


                    

                
#r "nuget: EasyAppDev.Blazor.AutoComplete.AI.AzureSearch, 1.0.6"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
#:package EasyAppDev.Blazor.AutoComplete.AI.AzureSearch@1.0.6
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package. 
#addin nuget:?package=EasyAppDev.Blazor.AutoComplete.AI.AzureSearch&version=1.0.6
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=EasyAppDev.Blazor.AutoComplete.AI.AzureSearch&version=1.0.6
                    


                            Install as a Cake Tool

EasyAppDev.Blazor.AutoComplete.AI.AzureSearch

Azure AI Search integration for semantic search with the Blazor AutoComplete component.

NuGet License: MIT

Features

  • Hybrid Search: Combines vector + keyword search
  • Semantic Ranking: AI-powered result re-ranking
  • Managed Service: No infrastructure to maintain
  • Enterprise Ready: Built-in security, scaling, and SLA

Installation

dotnet add package EasyAppDev.Blazor.AutoComplete.AI.AzureSearch

Quick Start

1. Configure Services

// Program.cs
builder.Services.AddAutoCompleteAzureSearch<Product>(
    endpoint: "https://mysearch.search.windows.net",
    apiKey: "your-admin-key",
    indexName: "products",
    options => {
        options.EnableSemanticRanking = true;
        options.SemanticConfigurationName = "my-semantic-config";
    },
    textSelector: p => $"{p.Name} {p.Description}",
    idSelector: p => p.Id.ToString());

// Register embedding generator
builder.Services.AddAutoCompleteVectorSearch<Product>(
    openAiApiKey: "sk-...");

2. Use the Component

@using EasyAppDev.Blazor.AutoComplete.AI

<VectorAutoComplete TItem="Product"
                    TextField="@(p => p.Name)"
                    @bind-Value="@selectedProduct"
                    Placeholder="Semantic search..." />

Configuration Options

Option Description Default
Endpoint Azure Search endpoint Required
ApiKey Admin API key Required
IndexName Search index name Required
EnableSemanticRanking Use semantic ranker false
VectorFieldName Vector field in index embedding
TopK Max results to return 10

Azure AI Search combines vector similarity with traditional keyword matching:

options.EnableHybridSearch = true;
options.HybridSearchWeight = 0.5f; // 50% vector, 50% keyword

Creating an Index

Use Azure Portal or SDK to create an index with a vector field:

{
  "name": "products",
  "fields": [
    { "name": "id", "type": "Edm.String", "key": true },
    { "name": "name", "type": "Edm.String", "searchable": true },
    { "name": "embedding", "type": "Collection(Edm.Single)", "dimensions": 1536, "vectorSearchProfile": "default" }
  ]
}

License

MIT

Product Compatible and additional computed target framework versions.
.NET net8.0 is compatible.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed.  net9.0 is compatible.  net9.0-android was computed.  net9.0-browser was computed.  net9.0-ios was computed.  net9.0-maccatalyst was computed.  net9.0-macos was computed.  net9.0-tvos was computed.  net9.0-windows was computed.  net10.0 was computed.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
1.0.7 40 12/21/2025
1.0.6 69 12/20/2025

Version 1.0.6 - Updated all package READMEs with focused documentation for each package. Added READMEs for vector database providers (PostgreSQL, Azure AI Search, Pinecone, Qdrant, CosmosDB).