Freemius

uzerdigital

👋 Note: Currently, the plugin’s backend interface and settings are fully in Spanish. We are actively working on translating it to English and other languages for future updates.
UZ AI Search transforms traditional WordPress search into a conversational experience using Artificial Intelligence.
Whether you need a conversational chatbot to provide customer support, or a smart informational search engine to help users explore your site’s content, UZ AI Search adapts completely to your needs. It allows your website visitors to find precise answers based exclusively on your own indexed content (posts, pages, products, and custom post types), utilizing OpenAI technology.
Key Features: 
* Versatile Use Cases: Configure the AI as a friendly customer service assistant or a strict knowledge base search. 
* Flexible Layout Options: Choose how the chat modal appears on your frontend (Centered popup, Fullscreen, or Left/Right Sidebars). 
* Advanced Semantic Search: Understands the actual intent behind your users’ questions. 
* Customizable Interface: Easily adjust themes (Light/Dark mode) to match your brand’s identity. 
* Selective Content Indexing: Control exactly which post types feed the AI’s knowledge (based on your active plan).
Important: The AI search assistant will respond in the language you specify in its prompt instructions. Please note that the default instructions are currently in Spanish. If you want the AI to answer in English (or any other language), you simply need to translate or adjust the instructions in the plugin’s settings.
<h3>External services</h3>
This plugin connects to the UZER API (https://uzerdev.com/api/) to generate vector embeddings for semantic search, check subscription plan limits, and stream the AI chat responses back to the website. Here is the exact breakdown of the external requests made by the plugin:
<ul>
<li>api/status: Verifies connection status and subscription limits.</li>
<li>api/indexer: Processes public content to generate semantic embeddings.</li>
<li>api/chat: Streams real-time AI responses based on site context.</li>
</ul>
This service is provided by “UZER”: <a href="https://uzer.co/wp-content/uploads/2026/03/MPPTD_XTRATEGY.CO_EN.pdf" rel="nofollow ugc">terms of use</a>, <a href="https://uzer.co/wp-content/uploads/2026/03/MPPTD_XTRATEGY.CO_EN.pdf" rel="nofollow ugc">privacy policy</a>.

UZ AI Search

AI-powered semantic search that understands your users. Accurate answers based on your content using OpenAI embeddings.

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.

UZ AI Search vs Creator Assistant Hub