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vlados/laravel-related-content
==============================

Build related content links using vector embeddings and pgvector for Laravel

v0.1.3(4mo ago)125992MITPHPPHP ^8.3CI passing

Since Dec 6Pushed 4mo agoCompare

[ Source](https://github.com/vlados/laravel-related-content)[ Packagist](https://packagist.org/packages/vlados/laravel-related-content)[ Docs](https://github.com/vlados/laravel-related-content)[ RSS](/packages/vlados-laravel-related-content/feed)WikiDiscussions main Synced 1mo ago

READMEChangelog (3)Dependencies (12)Versions (5)Used By (0)

Laravel Related Content
=======================

[](#laravel-related-content)

Build related content links using vector embeddings and pgvector for Laravel.

[![Latest Version on Packagist](https://camo.githubusercontent.com/704930f72308e4155f1b54b346ed1316e39718f7b189efe0741e34c4c39e31fa/68747470733a2f2f696d672e736869656c64732e696f2f7061636b61676973742f762f766c61646f732f6c61726176656c2d72656c617465642d636f6e74656e742e7376673f7374796c653d666c61742d737175617265)](https://packagist.org/packages/vlados/laravel-related-content)

Features
--------

[](#features)

- 🔗 **Pre-computed Related Links** - Related content is calculated on save, not on every page load
- 🚀 **Fast Lookups** - O(1) relationship queries instead of real-time similarity search
- 🔄 **Cross-Model Relationships** - Find related content across different model types (Blog → Events → Questions)
- 🧠 **Multiple Embedding Providers** - Support for OpenAI and Ollama
- 📦 **Queue Support** - Process embeddings in the background
- 🔍 **Semantic Search** - Search content by meaning, not just keywords

Requirements
------------

[](#requirements)

- PHP 8.3+
- Laravel 11 or 12
- PostgreSQL with pgvector extension

Installation
------------

[](#installation)

### 1. Install pgvector extension in PostgreSQL

[](#1-install-pgvector-extension-in-postgresql)

```
CREATE EXTENSION IF NOT EXISTS vector;
```

### 2. Install the package via Composer

[](#2-install-the-package-via-composer)

```
composer require vlados/laravel-related-content
```

### 3. Publish the config and migrations

[](#3-publish-the-config-and-migrations)

```
php artisan vendor:publish --tag="related-content-config"
php artisan vendor:publish --tag="related-content-migrations"
php artisan migrate
```

### 4. Configure your environment

[](#4-configure-your-environment)

```
# Embedding provider (openai or ollama)
RELATED_CONTENT_PROVIDER=openai

# OpenAI settings
OPENAI_API_KEY=your-api-key
OPENAI_EMBEDDING_MODEL=text-embedding-3-small
OPENAI_EMBEDDING_DIMENSIONS=1536

# Or Ollama settings
OLLAMA_BASE_URL=http://localhost:11434
OLLAMA_EMBEDDING_MODEL=nomic-embed-text
```

Usage
-----

[](#usage)

### 1. Add the trait to your models

[](#1-add-the-trait-to-your-models)

```
use Vlados\LaravelRelatedContent\Concerns\HasRelatedContent;

class BlogPost extends Model
{
    use HasRelatedContent;

    /**
     * Define which fields should be embedded.
     */
    public function embeddableFields(): array
    {
        return ['title', 'excerpt', 'content'];
    }
}
```

### 2. Configure models for cross-model relationships

[](#2-configure-models-for-cross-model-relationships)

In `config/related-content.php`:

```
'models' => [
    \App\Models\BlogPost::class,
    \App\Models\Event::class,
    \App\Models\Question::class,
],
```

### 3. Related content is automatically synced on save

[](#3-related-content-is-automatically-synced-on-save)

```
$post = BlogPost::create([
    'title' => 'Electric Vehicle Charging Guide',
    'content' => '...',
]);

// Embedding is generated and related content is found automatically
```

### 4. Retrieve related content

[](#4-retrieve-related-content)

```
// Get all related content
$related = $post->getRelatedModels();

// Get related content of a specific type
$relatedEvents = $post->getRelatedOfType(Event::class);

// Get the raw relationship with similarity scores
$post->relatedContent()->with('related')->get();
```

### 5. Use in Blade templates

[](#5-use-in-blade-templates)

```
@if($post->relatedContent->isNotEmpty())

        Related Content
        @foreach($post->getRelatedModels(5) as $item)
            {{ $item->title }}
        @endforeach

@endif
```

Artisan Commands
----------------

[](#artisan-commands)

### Rebuild embeddings and related content

[](#rebuild-embeddings-and-related-content)

```
# Process models missing embeddings (default behavior)
php artisan related-content:rebuild

# Process a specific model (missing only)
php artisan related-content:rebuild "App\Models\BlogPost"

# Force regenerate all embeddings
php artisan related-content:rebuild --force

# Process synchronously (instead of queuing)
php artisan related-content:rebuild --sync

# With custom chunk size
php artisan related-content:rebuild --chunk=50
```

Semantic Search
---------------

[](#semantic-search)

You can also use the package for semantic search:

```
use Vlados\LaravelRelatedContent\Services\RelatedContentService;

$service = app(RelatedContentService::class);

// Search across all embeddable models
$results = $service->search('electric vehicle charging');

// Search specific model types
$results = $service->search('charging stations', [
    \App\Models\Event::class,
    \App\Models\BlogPost::class,
]);
```

Configuration
-------------

[](#configuration)

```
return [
    // Embedding provider: 'openai' or 'ollama'
    'provider' => env('RELATED_CONTENT_PROVIDER', 'openai'),

    // Provider-specific settings
    'providers' => [
        'openai' => [
            'api_key' => env('OPENAI_API_KEY'),
            'base_url' => env('OPENAI_BASE_URL', 'https://api.openai.com/v1'),
            'model' => env('OPENAI_EMBEDDING_MODEL', 'text-embedding-3-small'),
            'dimensions' => env('OPENAI_EMBEDDING_DIMENSIONS', 1536),
        ],
        'ollama' => [
            'base_url' => env('OLLAMA_BASE_URL', 'http://localhost:11434'),
            'model' => env('OLLAMA_EMBEDDING_MODEL', 'nomic-embed-text'),
            'dimensions' => env('OLLAMA_EMBEDDING_DIMENSIONS', 768),
        ],
    ],

    // Maximum related items per model
    'max_related_items' => 10,

    // Minimum similarity threshold (0-1)
    'similarity_threshold' => 0.5,

    // Queue settings
    'queue' => [
        'connection' => 'default',
        'name' => 'default',
    ],

    // Models to include in cross-model relationships
    'models' => [],

    // Database table names
    'tables' => [
        'embeddings' => 'embeddings',
        'related_content' => 'related_content',
    ],
];
```

Events
------

[](#events)

The package dispatches events you can listen to:

```
use Vlados\LaravelRelatedContent\Events\RelatedContentSynced;

class HandleRelatedContentSynced
{
    public function handle(RelatedContentSynced $event): void
    {
        // $event->model - The model that was synced
    }
}
```

How It Works
------------

[](#how-it-works)

1. **On Model Save**: When a model with `HasRelatedContent` is saved, a job is dispatched
2. **Generate Embedding**: The job generates a vector embedding from the model's embeddable fields
3. **Find Similar**: Uses pgvector to find similar content across all configured models
4. **Store Links**: Stores the related content relationships in the `related_content` table
5. **Fast Retrieval**: When displaying related content, it's a simple database lookup (no API calls)

### Bidirectional Relationships

[](#bidirectional-relationships)

Related content works in both directions automatically. When a new BlogPost is saved and finds an Event as related, the Event will also show the BlogPost in its related content - without needing to re-sync the Event.

This is achieved by querying both directions:

- Forward: where this model is the source
- Reverse: where this model is the related target

Results are deduplicated and sorted by similarity score.

Performance
-----------

[](#performance)

- **Embedding Generation**: ~200-500ms per model (depends on text length and provider)
- **Related Content Lookup**: ~5ms (simple database query)
- **Storage**: ~6KB per embedding (1536 dimensions x 4 bytes)

License
-------

[](#license)

MIT License. See [LICENSE](LICENSE.md) for more information.

Credits
-------

[](#credits)

- [Vladislav Stoitsov](https://github.com/vlados)

###  Health Score

41

—

FairBetter than 89% of packages

Maintenance75

Regular maintenance activity

Popularity26

Limited adoption so far

Community7

Small or concentrated contributor base

Maturity43

Maturing project, gaining track record

 Bus Factor1

Top contributor holds 100% of commits — single point of failure

How is this calculated?**Maintenance (25%)** — Last commit recency, latest release date, and issue-to-star ratio. Uses a 2-year decay window.

**Popularity (30%)** — Total and monthly downloads, GitHub stars, and forks. Logarithmic scaling prevents top-heavy scores.

**Community (15%)** — Contributors, dependents, forks, watchers, and maintainers. Measures real ecosystem engagement.

**Maturity (30%)** — Project age, version count, PHP version support, and release stability.

###  Release Activity

Cadence

Every ~6 days

Total

4

Last Release

138d ago

PHP version history (2 changes)v0.1.0-betaPHP ^8.2

v0.1.2PHP ^8.3

### Community

Maintainers

![](https://www.gravatar.com/avatar/20ebf35eac0da0d3775f3a64bdd9dc0e9dfa11bc9a3c3ee9db92deef9dbf8bd8?d=identicon)[vlados](/maintainers/vlados)

---

Top Contributors

[![vlados](https://avatars.githubusercontent.com/u/46914?v=4)](https://github.com/vlados "vlados (16 commits)")

---

Tags

embeddingslaravelpgvectorrecommendationsrelated-contentsimilarityvectorslaravelvectorssimilarityembeddingspgvectorrecommendationsvladosrelated-content

###  Code Quality

TestsPest

Static AnalysisPHPStan

Code StyleLaravel Pint

### Embed Badge

![Health badge](/badges/vlados-laravel-related-content/health.svg)

```
[![Health](https://phpackages.com/badges/vlados-laravel-related-content/health.svg)](https://phpackages.com/packages/vlados-laravel-related-content)
```

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