Description
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.
- 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
Installation
- 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.
Reviews
Contributors & Developers
“AI Search” is open source software. The following people have contributed to this plugin.
Contributors
Translate “AI Search” into your language.
Interested in development?
Browse the code, check out the SVN repository, or subscribe to the development log by RSS.
Changelog
1.6
- Replaced internal embedding storage with external service integration.
- Token-based authentication per origin.
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.