وضاحت
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
انسٽاليشن
- 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.
جائزا
18 جُون 2025
Installed, added my OpenAI key, and it just worked. Search results are way more relevant than the default WordPress search. It actually understands what people are trying to find, even if the keywords don’t match exactly.
18 جُون 2025
This plugin adds a huge boost to WordPress’ default search functionality. If you want AI search without writing a line of code, this is hands down the best solution I’ve found.
12 جُون 2025
1 reply
I’ve found this plugin and I must say, it’s awesome. The AI search results feel a lot more relevant.Setup was super simple, just added my OpenAI API key and it worked right out of the box. No complicated settings or code needed. It’s a great tool if you want to give your visitors a better experience and make it easier for them to find what they need.Definitely recommend it! PS: Is there a plan to integrate Gemini as well? Thank you
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لاگ تبدیل ڪريو
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.