Samuel Silva

AI Search for WooCommerce makes your store’s search actually work. When a shopper types “summer blue dress” they find your “light cotton navy sundress”. When they search “headphones for running” they find your sweat-resistant wireless earbuds — even if the word “running” isn’t anywhere in the product description.
Default WooCommerce search matches keywords. AI Search matches meaning. It reads your entire product catalog — titles, descriptions, SKUs, categories, tags, and attributes — and converts each product into a vector that captures what it actually is. When a shopper searches, the plugin finds the closest matches by meaning, not by exact word overlap.
The result: fewer empty search pages, more products surfaced for long-tail queries, and shoppers who find what they wanted on the first try.
Also works with blog posts, pages, and any custom post type — so you can use the same intelligent search across your whole site.
<h3>Key Features</h3>
<ul>
<li>WooCommerce Product Search: Full product catalog indexing — titles, short and long descriptions, SKUs, categories, tags, and product attributes (size, color, material, etc.). Pre-configured defaults so you can go live in minutes.</li>
<li>Understands Shoppers, Not Just Keywords: Semantic search means “cozy winter sweater” matches your “merino wool pullover”. Long-tail and descriptive queries stop returning empty pages.</li>
<li>Cross-Lingual & Multilingual: Works with 100+ languages — Portuguese, Spanish, French, German, Greek, Arabic, Chinese, Japanese, and more. International stores get consistent search quality across every language, and an English query can still match content in other languages.</li>
<li>SKU & Attribute Matching: Customers can search by SKU fragments, attribute values, or technical specs and still find the right product.</li>
<li>Smart Fallback System: 4-tier fallback ensures shoppers never hit a zero-result page — if AI search finds nothing, standard WordPress search takes over automatically.</li>
<li>No OpenAI Account Required: Uses our free embedding service (up to 10,000 embeddings per site). Works out of the box for most stores.</li>
<li>Bring Your Own API Key: Optionally use your own OpenAI API key for unlimited indexing.</li>
<li>Bulk Embedding Generation: Index your entire existing catalog in one click, filtered by post type or category.</li>
<li>Quota Management: Real-time monitoring of AI service usage and limits (v1.14.0+).</li>
<li>Works Beyond Products Too: Same intelligent search for blog posts, pages, and any public custom post type.</li>
<li>ACF Compatible: Index Advanced Custom Fields data for deeper product metadata search.</li>
<li>Tunable Similarity Threshold: Fine-tune how strict or broad search results are, per store.</li>
<li>Intelligent Caching: Fast results with automatic local caching.</li>
</ul>
<h3>Perfect For</h3>
<ul>
<li>WooCommerce stores with large or varied product catalogs</li>
<li>Fashion & apparel stores where shoppers describe products in their own words (“something flowy for summer”)</li>
<li>Electronics & home goods stores with complex technical specs and model numbers</li>
<li>Books, media, and marketplaces with thousands of titles</li>
<li>International stores selling in multiple languages</li>
<li>Membership sites, knowledge bases, and directories — any content-heavy WordPress site</li>
</ul>
<h3>How It Works</h3>
<ol>
<li>Each product in your WooCommerce catalog is converted into a numeric “meaning fingerprint” (called an embedding) that captures its title, description, SKU, categories, tags, and attributes.</li>
<li>When a shopper types a search query, their query gets its own fingerprint in the same way.</li>
<li>The plugin compares the query’s fingerprint against every product’s fingerprint and returns the closest matches by meaning — not just by word overlap.</li>
<li>Results are ranked by relevance, so the products shoppers actually want appear first.</li>
<li>If no semantic matches pass the threshold, a 4-tier fallback kicks in so shoppers never hit an empty results page.</li>
</ol>
Embeddings are generated automatically when you publish or update products — no manual work after setup.
<h3>Learn More</h3>
Visit our website for documentation, demos, and examples: 
https://wp-search.ai/
Browse technical documentation, see live demos of the plugin in action, and learn best practices for AI-powered search.
<h3>Usage</h3>
<ul>
<li>Your existing WooCommerce search form (and the default WordPress search) are automatically upgraded — no theme or template changes required.</li>
<li>Manage settings, switch providers, and monitor quota via the AI Search menu in your WordPress admin.</li>
</ul>
<h3>External Service</h3>
This plugin connects with:
<ul>
<li>OpenAI Embeddings API: https://platform.openai.com/docs/guides/embeddings</li>
<li>Custom Node.js Embedding Service</li>
</ul>
Please read more here: 
https://platform.openai.com/docs/guides/embeddings

AI Search for WooCommerce – Intelligent Product Search


Love the idea and the implementation. I'll be using this more and more on all of our Woo sites.


Works like a charm

AI-powered semantic search built for WooCommerce stores. Understands what shoppers actually want — even when they use different words than your produc …

Alessandro Lioce

Creator Assistant Hub is the core infrastructure plugin of the Creator Assistant ecosystem. It connects your WordPress site to OpenAI and Qdrant to automatically generate and store vector embeddings for your content, enabling semantic search and AI-powered features.
How it works
The Hub is the shared infrastructure layer for the Creator Assistant ecosystem. When a compatible add-on is active and activates a vectorizer, the plugin generates vector embeddings via the OpenAI API and stores them in your Qdrant vector database cluster whenever a post is published or updated. This makes your content available for semantic search and retrieval by Creator Assistant add-ons. Without an active add-on, the Hub runs in standby mode — no content is sent to external services.
Key features
<ul>
<li>Automatic post vectorization — when an add-on activates a vectorizer, embeddings are generated and stored whenever a post is published or updated. Without an active add-on, no vectorization takes place.</li>
<li>Chunk-based vectorization — splits post content into word-level segments and stores each chunk as a separate Qdrant point, enabling fine-grained retrieval (activated by add-ons via filter).</li>
<li>Summary-based vectorization — generates a short AI summary of each post via OpenAI Chat Completions, then embeds and stores a single point per post for high-level semantic search (activated by add-ons via filter).</li>
<li>Background batch vectorization — an hourly cron job automatically picks up any existing posts that have not yet been vectorized, so your entire content library is indexed without manual intervention.</li>
<li>OpenAI integration — uses the <code>text-embedding-3-small</code> model (1536 dimensions) via the OpenAI Embeddings API for all vectorizers; the Summary vectorizer additionally calls the OpenAI Chat Completions API (<code>gpt-4.1-nano</code>) to generate post summaries.</li>
<li>Qdrant integration — stores and retrieves vector embeddings from your Qdrant Cloud cluster. Two collections are used: <code>post_chunk</code> for chunk-level points and <code>post_summary</code> for post-level summary points.</li>
<li>Block editor panel — shows the vectorization status of each post directly in the block editor sidebar (document settings panel).</li>
<li>Post list column — adds a “Vector Status” column to the posts and pages admin list, showing the vectorization status of each entry at a glance.</li>
<li>Settings page — configure OpenAI API key, Qdrant endpoint and API key, and cache expiration from a dedicated admin page.</li>
<li>API response caching — configurable cache duration to reduce API usage and latency.</li>
<li>Site Health check — reports the Hub service status in the WordPress Site Health screen.</li>
<li>Qdrant keep-alive — sends a daily lightweight ping to prevent free-tier Qdrant Cloud clusters from being suspended.</li>
<li>WPML compatible — detects the post language via WPML hooks (when WPML is active) and includes it in the Qdrant payload for multilingual filtering.</li>
<li>Extensible — exposes actions and filters so add-ons can register additional post types, override vectorizer behaviour, customise Qdrant payloads, and add settings tabs.</li>
</ul>
Requirements
<ul>
<li>An <a href="https://platform.openai.com/" rel="nofollow ugc">OpenAI</a> account with a valid API key.</li>
<li>A <a href="https://cloud.qdrant.io/" rel="nofollow ugc">Qdrant Cloud</a> account with an active cluster (free tier is supported).</li>
<li>WordPress 6.6 or higher.</li>
<li>PHP 7.4 or higher.</li>
</ul>
External services
This plugin connects to two third-party services. By using this plugin you agree to their respective terms and privacy policies.
<ul>
<li>
OpenAI — used to generate vector embeddings from your post content via the Embeddings API. When the Summary vectorizer is active (enabled by an add-on), post content is also sent to the Chat Completions API to generate a short AI summary before embedding.
<ul>
<li>Service: <a href="https://platform.openai.com/" rel="nofollow ugc">https://platform.openai.com/</a></li>
<li>Privacy Policy: <a href="https://openai.com/policies/privacy-policy" rel="nofollow ugc">https://openai.com/policies/privacy-policy</a></li>
<li>Terms of Use: <a href="https://openai.com/policies/terms-of-use" rel="nofollow ugc">https://openai.com/policies/terms-of-use</a></li>
</ul>
</li>
<li>
Qdrant Cloud — used to store and query vector embeddings.
<ul>
<li>Service: <a href="https://cloud.qdrant.io/" rel="nofollow ugc">https://cloud.qdrant.io/</a></li>
<li>Privacy Policy: <a href="https://qdrant.tech/legal/privacy-policy/" rel="nofollow ugc">https://qdrant.tech/legal/privacy-policy/</a></li>
<li>Terms of Service: <a href="https://qdrant.tech/legal/terms_and_conditions/" rel="nofollow ugc">https://qdrant.tech/legal/terms_and_conditions/</a></li>
</ul>
</li>
</ul>
Data is only transmitted to these services after you explicitly accept the Creator Assistant Terms of Service in the plugin settings and provide your own API credentials. No data is transmitted automatically upon activation.

Creator Assistant Hub

The AI infrastructure for your WordPress content. Vectorize posts with OpenAI embeddings and store them in Qdrant for semantic search.

AI Search for WooCommerce – Intelligent Product Search vs Creator Assistant Hub