EasyAppDev.Blazor.AutoComplete.AI 1.0.6

There is a newer version of this package available.
See the version list below for details.

dotnet add package EasyAppDev.Blazor.AutoComplete.AI --version 1.0.6

NuGet\Install-Package EasyAppDev.Blazor.AutoComplete.AI -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" 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" Version="1.0.6" />
                    

                            Directory.Packages.props

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

                            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 --version 1.0.6

The NuGet Team does not provide support for this client. Please contact its maintainers for support.

#r "nuget: EasyAppDev.Blazor.AutoComplete.AI, 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@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&version=1.0.6
                    

                            Install as a Cake Addin

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

                            Install as a Cake Tool

The NuGet Team does not provide support for this client. Please contact its maintainers for support.

EasyAppDev.Blazor.AutoComplete.AI

AI-powered semantic search for the Blazor AutoComplete component. Search by meaning, not just keywords.

Features

Semantic Search: Understands meaning, synonyms, and concepts
SIMD Acceleration: 3-5x faster similarity calculations
Dual Caching: Separate item/query caches with LRU eviction
Multiple Providers: OpenAI, Azure OpenAI, Ollama, or custom
Hybrid Search: Falls back to text matching for short queries

Installation

dotnet add package EasyAppDev.Blazor.AutoComplete.AI

Note: This package includes the core AutoComplete component as a dependency.

Quick Start

1. Configure OpenAI

Option A: appsettings.json (Recommended)

{
  "OpenAI": {
    "ApiKey": "sk-proj-...",
    "Model": "text-embedding-3-small"
  }
}

// Program.cs
builder.Services.AddAutoCompleteSemanticSearch(builder.Configuration);

Option B: Direct API Key

builder.Services.AddAutoCompleteSemanticSearch(
    apiKey: "sk-proj-...",
    model: "text-embedding-3-small");

2. Use the Component

@using EasyAppDev.Blazor.AutoComplete.AI

<SemanticAutoComplete TItem="Document"
                      Items="@docs"
                      SearchFields="@(d => new[] { d.Title, d.Description })"
                      TextField="@(d => d.Title)"
                      SimilarityThreshold="0.15"
                      @bind-Value="@selectedDoc"
                      Placeholder="Search by meaning..." />

Supported Providers

Provider	Setup Method	Cost	Privacy
OpenAI	`AddAutoCompleteSemanticSearch()`	$	Cloud
Azure OpenAI	`AddAutoCompleteSemanticSearchWithAzure()`	$	Azure
Ollama	Custom `IEmbeddingGenerator`	Free	Local

Azure OpenAI

builder.Services.AddAutoCompleteSemanticSearchWithAzure(
    endpoint: "https://my-resource.openai.azure.com/",
    apiKey: "your-azure-api-key",
    deploymentName: "text-embedding-ada-002");

Ollama (Local)

using OllamaSharp;

var ollamaClient = new OllamaApiClient("http://localhost:11434");
builder.Services.AddSingleton<IEmbeddingGenerator<string, Embedding<float>>>(
    ollamaClient.AsEmbeddingGenerator("nomic-embed-text"));

Advanced Configuration

<SemanticAutoComplete TItem="Product"
                      Items="@products"
                      SearchFields="@(p => new[] { p.Name, p.Description })"

                      @* Cache Configuration *@
                      ItemCacheDuration="TimeSpan.FromHours(2)"
                      QueryCacheDuration="TimeSpan.FromMinutes(30)"
                      MaxItemCacheSize="20000"

                      @* Pre-warming *@
                      PreWarmCache="true"
                      ShowCacheStatus="true"

                      @* Search Tuning *@
                      SimilarityThreshold="0.15"
                      MinSearchLength="3"
                      DebounceMs="500"

                      @bind-Value="@selectedProduct" />

Vector Database Providers

For production-grade semantic search with persistent storage, use vector database providers:

Package	Provider
`EasyAppDev.Blazor.AutoComplete.AI.PostgreSql`	PostgreSQL/pgvector
`EasyAppDev.Blazor.AutoComplete.AI.AzureSearch`	Azure AI Search
`EasyAppDev.Blazor.AutoComplete.AI.Pinecone`	Pinecone
`EasyAppDev.Blazor.AutoComplete.AI.Qdrant`	Qdrant
`EasyAppDev.Blazor.AutoComplete.AI.CosmosDb`	Azure CosmosDB

Performance

SIMD Acceleration: 3-5x faster cosine similarity
Cache Hit Rate: 80%+ after warm-up
API Cost Reduction: 80%+ due to caching

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.

Product

.NET

Compatible target framework(s)

Included target framework(s) (in package)

Learn more about Target Frameworks and .NET Standard.

net8.0
- EasyAppDev.Blazor.AutoComplete (>= 1.0.6)
- Microsoft.Extensions.AI.Abstractions (>= 10.1.1)
- Microsoft.Extensions.Configuration.Abstractions (>= 9.0.0)
- Microsoft.SemanticKernel (>= 1.68.0)
- Microsoft.SemanticKernel.Connectors.OpenAI (>= 1.68.0)
- System.Numerics.Tensors (>= 10.0.0)
net9.0
- EasyAppDev.Blazor.AutoComplete (>= 1.0.6)
- Microsoft.Extensions.AI.Abstractions (>= 10.1.1)
- Microsoft.Extensions.Configuration.Abstractions (>= 9.0.0)
- Microsoft.SemanticKernel (>= 1.68.0)
- Microsoft.SemanticKernel.Connectors.OpenAI (>= 1.68.0)
- System.Numerics.Tensors (>= 10.0.0)

NuGet packages (5)

Showing the top 5 NuGet packages that depend on EasyAppDev.Blazor.AutoComplete.AI:

Package	Downloads
EasyAppDev.Blazor.AutoComplete.AI.CosmosDb Azure CosmosDB provider for EasyAppDev.Blazor.AutoComplete.AI semantic search. Provides multi-model database with DiskANN vector search for production-scale autocomplete scenarios with global distribution.	115
EasyAppDev.Blazor.AutoComplete.AI.Pinecone Pinecone provider for EasyAppDev.Blazor.AutoComplete.AI semantic search. Provides serverless vector storage with high-performance similarity search for production-scale autocomplete scenarios.	100
EasyAppDev.Blazor.AutoComplete.AI.Qdrant Qdrant provider for EasyAppDev.Blazor.AutoComplete.AI semantic search. Provides open-source vector storage with HNSW indexing for production-scale autocomplete scenarios. Supports self-hosted and cloud deployments.	97
EasyAppDev.Blazor.AutoComplete.AI.AzureSearch Azure AI Search provider for EasyAppDev.Blazor.AutoComplete.AI semantic search. Provides cloud-native vector search with hybrid (vector + keyword) search and semantic ranking support.	88
EasyAppDev.Blazor.AutoComplete.AI.PostgreSql PostgreSQL/pgvector provider for EasyAppDev.Blazor.AutoComplete.AI semantic search. Provides persistent vector storage with HNSW indexing for production-scale autocomplete scenarios.	88

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	68	12/20/2025
1.0.5	80	12/20/2025
1.0.4	212	12/18/2025
1.0.3	212	12/18/2025
1.0.2	572	12/1/2025
1.0.1	178	11/24/2025
1.0.0	175	11/23/2025

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).