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 Umbraco.AI.Search 1.0.0

Prefix Reserved 
dotnet add package Umbraco.AI.Search --version 1.0.0
 
 
NuGet\Install-Package Umbraco.AI.Search -Version 1.0.0
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="Umbraco.AI.Search" Version="1.0.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="Umbraco.AI.Search" Version="1.0.0" />
 


 Directory.Packages.props
 

 

 
<PackageReference Include="Umbraco.AI.Search" />
 


 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 Umbraco.AI.Search --version 1.0.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support. 
#r "nuget: Umbraco.AI.Search, 1.0.0"
#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 Umbraco.AI.Search@1.0.0
#: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=Umbraco.AI.Search&version=1.0.0
 


 Install as a Cake Addin
 

 

 
#tool nuget:?package=Umbraco.AI.Search&version=1.0.0
 


 Install as a Cake Tool
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

Umbraco.AI.Search

AI-powered semantic vector search for Umbraco CMS content and media. Built on Umbraco.Cms.Search and Umbraco.AI's embedding capabilities, it registers as a search provider alongside Examine and other CMS Search providers.

Features

  • Semantic Search - Find content by meaning, not just keywords ("audio shows" finds Podcasts)
  • SQL Server 2025+ Native Vectors - Automatic VECTOR_DISTANCE() with brute-force fallback for older versions
  • CMS Search Provider - Registers as an IIndexer/ISearcher via Umbraco.Cms.Search, works alongside Examine
  • Content & Media Indexing - Indexes both document and media content on publish
  • Text Chunking - Configurable chunking with overlap for long documents
  • MinScore Filtering - Filters irrelevant results below a configurable similarity threshold
  • Agent Tool - Semantic search tool for AI agents with text query and document similarity modes
  • Custom Vector Store - Implement IAIVectorStore for alternative storage backends

Monorepo Context

This package is part of the . For local development, see the monorepo setup instructions in the root README.

Installation

dotnet add package Umbraco.AI.Search

This meta-package includes all required components. For more control, install individual packages:

Package Description
Umbraco.AI.Search.Core Domain models, services, indexer, searcher, tools
Umbraco.AI.Search.Db Shared EF Core DbContext and base vector store
Umbraco.AI.Search.Db.SqlServer SQL Server migrations + native VECTOR_DISTANCE override
Umbraco.AI.Search.Db.Sqlite SQLite migrations

Requirements

  • Umbraco CMS 17.0.0+
  • Umbraco.Cms.Search 1.0.0+
  • Umbraco.AI 1.0.0+
  • .NET 10.0
  • An embedding-capable AI provider (e.g. Umbraco.AI.OpenAI with text-embedding-3-small)

Configuration

{
 "Umbraco": {
 "AI": {
 "Search": {
 "ChunkSize": 512,
 "ChunkOverlap": 50,
 "DefaultTopK": 100,
 "MinScore": 0.3
 }
 }
 }
}
Option Default Description
ChunkSize 512 Maximum tokens per text chunk
ChunkOverlap 50 Token overlap between consecutive chunks
DefaultTopK 100 Max candidates from vector similarity search
MinScore 0.3 Minimum cosine similarity score (0.0-1.0) to include a result

Documentation

  • - Development guide, architecture, and technical details for this package
  • - Shared coding standards and conventions
  • - How to contribute to the monorepo

License

This project is licensed under the MIT License. See for details.

There are no supported framework assets in this package.

Learn more about Target Frameworks and .NET Standard.

NuGet packages (3)

Showing the top 3 NuGet packages that depend on Umbraco.AI.Search:

Package Downloads
argentini.umbraco.search.qdrant

Qdrant vector store support for Umbraco semantic search.
fynydd.umbraco.search.qdrant

Qdrant vector store support for Umbraco semantic search.
Umbraco.Community.AiAgentMemory

AI Agent Memory for Umbraco — persistent memory + learning layer for Umbraco's AI agent stack. Editors give thumbs-up / thumbs-down feedback on agent runs via the AI Agent Feedback widget; the package indexes that feedback as searchable memory and injects it into subsequent runs so agents suppress false positives and reuse validated patterns. Composes on Umbraco.AI 1.8+ (vector store via Umbraco.AI.Search). Memory is off by default; per-agent opt-in via appsettings.json. Built for Umbraco v17+.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
1.0.0 320 6/10/2026
1.0.0-beta9 187 6/1/2026
1.0.0-beta8 180 5/21/2026
1.0.0-beta6 161 5/14/2026
1.0.0-beta4 248 5/6/2026
1.0.0-beta3 290 4/16/2026
1.0.0-beta2 177 4/8/2026
1.0.0-beta10 96 6/4/2026
1.0.0-beta1 196 3/27/2026