Descripción
AI Search for WordPress enhances the search experience by:
– Replacing the default WordPress search with an AI-powered intelligent search system.
– Generating embeddings for posts using OpenAI’s text-embedding-3-small model via an external Node.js service (Open AI account isn’t necessary).
– Managing embeddings centrally with per-origin quota control.
– Caching results locally using WordPress transients.
– Ranking posts based on similarity using cosine similarity metrics.
Features
- Intelligent Search: AI-powered context inference.
- Remote Embedding Service: Embeddings stored in a central MySQL database through a Node.js API.
- Admin Settings: Manage global token and service URL.
- Bulk Embedding Generation: Generate embeddings for multiple posts or custom post types.
- Cache Management: Clear embedding cache and post meta embeddings.
- Enhanced Similarity Control: Fine-tuned similarity threshold with 3-decimal precision.
- Caching: Local transient caching.
Usage
- Simply use the default WordPress search, and AI Search will enhance it.
- Manage your OpenAI API key and plugin settings via the Settings > AI Search menu.
External Service
This plugin connects with:
- OpenAI Embeddings API: https://platform.openai.com/docs/guides/embeddings
- Custom Node.js Embedding Service
Please read more here:
https://platform.openai.com/docs/guides/embeddings
Instalación
- Install and Activate the plugin through the 'Plugins' menu in WordPress.
- Go to Settings > AI Search and configure what you need.
- Run Bulk Embedding Generation via admin panel (the current posts have to be regenerated).
FAQ
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What is required to use AI Search for WordPress?
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If you want to use the service we provide: nothing. If you want to use your own Open AI key, you’ll need that.
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How does this plugin work?
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The plugin uses OpenAI’s
text-embedding-3-smallmodel to generate embeddings for your content. When users search, it matches the query embedding with post embeddings in the database for more relevant results. -
What happens if the OpenAI API fails?
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The plugin handles API errors by logging them and reverting to the default search query.
Reseñas
Colaboradores y desarrolladores
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Colaboradores
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Registro de cambios
1.8.0
- Service Token Management: Added manual service token field in General Settings for better control and transparency
- Token Validation System: New "Validate Token" button with real-time validation and detailed usage statistics
- Enhanced Admin Interface: Service token field automatically shows/hides based on provider selection
- Comprehensive Validation Results: Displays client ID, origin, daily/total limits, current usage, and quota status
- Improved Error Handling: Better error messages for token validation failures and connection issues
- User Experience Improvements: Loading spinner, button states, and clearer user guidance
- Debugging Enhancements: Added error logging for better troubleshooting and API response monitoring
1.7.0
- Major Performance & UX Improvements
- Service Registration Optimization: Moved AI service registration from plugin initialization to settings save, eliminating unnecessary API calls during normal page loads
- Cache Management Tab: Added comprehensive cache management interface with three clearing options:
- Clear embedding cache (transients) – safe regeneration
- Clear post meta embeddings – requires manual regeneration
- Clear all embedding data – complete reset option
- Enhanced Similarity Threshold**: Improved precision and range:
- Range changed from 0.0-1.0 to 0.5-1.0 (eliminates low-relevance results)
- Precision increased from 0.01 to 0.001 steps (3 decimal places)
- Better user guidance and formatting
- Modular Code Architecture: Refactored service registration into isolated, reusable methods for better maintainability
- Real-time Cache Statistics: Display current cache size and post embedding counts
- Enhanced Error Handling**: Better user feedback when AI service is unavailable with automatic fallback
- Security Improvements: Enhanced nonce verification and user capability checks
1.6
- Replaced internal embedding storage with external service integration.
- Token-based authentication per origin.
- Restore original search in case there isn’t any AI results
- Solve fatal errors in case the vectors don’t have the same size
1.5
- Bulk embedding generation based on custom number of posts
1.4
- Settings UI Revamp: Introduced tabbed navigation to separate "General Settings" and "Generate Embeddings" for better organization.
- Batch Embedding Generation: Users can now trigger embedding generation for up to 50 posts at a time.
- Custom Post Type Selection: A dropdown was added, allowing users to choose which CPT they want to generate embeddings for.
- Embedding Optimization: Now only processes posts that do not yet have embeddings to avoid redundant API calls and improve performance.
- Security Enhancements: Added nonce verification to protect settings updates.
This update significantly improves usability, optimizes performance, and gives users more control over AI-powered search embeddings.
1.3
- Similarity Threshold Control: Added a range input field (0-1) in settings to allow users to adjust the similarity threshold dynamically.
1.2
- Cache Search embeddings, saved in transients for one day
1.1
- text-davinci-003 (deprecated) has been replaced bytext-embedding-ada-002 model
- db manipulation has been replaced by custom_post_meta approach
1.0
- Initial release, adding the settings page and the search filter.