Title: Creator Assistant Hub Author: Alessandro Lioce Published: 20 مارس 2026 Last modified: 20 مارس 2026 --- جستجوی افزونه‌ها ![](https://ps.w.org/creator-assistant-hub/assets/banner-772x250.png?rev=3487537) ![](https://ps.w.org/creator-assistant-hub/assets/icon-256x256.png?rev=3487396) # Creator Assistant Hub توسط [Alessandro Lioce](https://profiles.wordpress.org/alessandrolioce/) [دانلود](https://downloads.wordpress.org/plugin/creator-assistant-hub.1.0.0.zip) * [جزئیات](https://fa.wordpress.org/plugins/creator-assistant-hub/#description) * [نقد و بررسی‌ها](https://fa.wordpress.org/plugins/creator-assistant-hub/#reviews) * [نصب](https://fa.wordpress.org/plugins/creator-assistant-hub/#installation) * [توسعه](https://fa.wordpress.org/plugins/creator-assistant-hub/#developers) [پشتیبانی](https://wordpress.org/support/plugin/creator-assistant-hub/) ## توضیحات 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** * **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. * **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). * **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). * **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. * **OpenAI integration** — uses the `text-embedding-3-small` model (1536 dimensions) via the OpenAI Embeddings API for all vectorizers; the Summary vectorizer additionally calls the OpenAI Chat Completions API (`gpt-4.1-nano`) to generate post summaries. * **Qdrant integration** — stores and retrieves vector embeddings from your Qdrant Cloud cluster. Two collections are used: `post_chunk` for chunk-level points and `post_summary` for post-level summary points. * **Block editor panel** — shows the vectorization status of each post directly in the block editor sidebar (document settings panel). * **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. * **Settings page** — configure OpenAI API key, Qdrant endpoint and API key, and cache expiration from a dedicated admin page. * **API response caching** — configurable cache duration to reduce API usage and latency. * **Site Health check** — reports the Hub service status in the WordPress Site Health screen. * **Qdrant keep-alive** — sends a daily lightweight ping to prevent free-tier Qdrant Cloud clusters from being suspended. * **WPML compatible** — detects the post language via WPML hooks (when WPML is active) and includes it in the Qdrant payload for multilingual filtering. * **Extensible** — exposes actions and filters so add-ons can register additional post types, override vectorizer behaviour, customise Qdrant payloads, and add settings tabs. **Requirements** * An [OpenAI](https://platform.openai.com/) account with a valid API key. * A [Qdrant Cloud](https://cloud.qdrant.io/) account with an active cluster (free tier is supported). * WordPress 6.6 or higher. * PHP 7.4 or higher. **External services** This plugin connects to two third-party services. By using this plugin you agree to their respective terms and privacy policies. * **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. - Service: [https://platform.openai.com/](https://platform.openai.com/) - Privacy Policy: [https://openai.com/policies/privacy-policy](https://openai.com/policies/privacy-policy) - Terms of Use: [https://openai.com/policies/terms-of-use](https://openai.com/policies/terms-of-use) * **Qdrant Cloud** — used to store and query vector embeddings. - Service: [https://cloud.qdrant.io/](https://cloud.qdrant.io/) - Privacy Policy: [https://qdrant.tech/legal/privacy-policy/](https://qdrant.tech/legal/privacy-policy/) - Terms of Service: [https://qdrant.tech/legal/terms_and_conditions/](https://qdrant.tech/legal/terms_and_conditions/) 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. ## بلوک‌ها این افزونه 1 بلوک ارائه می‌دهد. * Creator Assistant Hub ## نصب 1. Upload the `creator-assistant-hub` folder to the `/wp-content/plugins/` directory, or install the plugin directly from the WordPress plugin screen. 2. Activate the plugin through the **Plugins** screen in WordPress. 3. Go to **Creator Assistant Hub** in the WordPress admin menu. 4. Accept the Terms of Service and Privacy Policy. 5. Enter your **OpenAI API key** in the OpenAI section. 6. Enter your **Qdrant endpoint URL** and **Qdrant API key** in the Qdrant section. 7. Save the settings. Green status notices will confirm that both services are connected. 8. Install a compatible Creator Assistant add-on (such as Creator Assistant Search) to activate vectorization. Once an add-on is active, new and updated posts are vectorized automatically on save, and existing posts in your library are picked up by the built-in hourly background batch. More add-ons are coming soon. ## سوالات متداول ### Do I need a paid OpenAI plan? Yes. The OpenAI API is a pay-as-you-go service — a valid payment method and prepaid credits are required. There is no free tier for API usage. The `text-embedding-3- small` model used by the Hub is very affordable: generating embeddings for a typical blog post costs a fraction of a cent. Check [OpenAI pricing](https://openai.com/pricing) for details. ### Does the plugin work with the free tier of Qdrant Cloud? Yes. The free tier of Qdrant Cloud provides a single cluster that may be suspended after a period of inactivity. The built-in keep-alive feature sends a daily ping to prevent this. ### Which post types are vectorized? By default, posts and pages are vectorized. Add-ons can register additional post types via the available hooks. ### Where can I see the vectorization status of a post? In two places: 1. **Block editor** — open any post or page in the editor. A **Creator Assistant** panel in the document settings sidebar (top-right area) shows the vectorization status for each active vectorizer. 2. **Post list** — a **Vector Status** column in the Posts and Pages admin list shows a green checkmark with the date of last vectorization, or a greyed-out label if the post has not yet been vectorized. ### How do I check whether the service is properly configured? Go to **Tools Site Health**. A dedicated test named **Creator Assistant Hub service** reports whether the Terms of Service have been accepted and both OpenAI and Qdrant are connected and ready. Also verify that WP-Cron is running correctly on your site. Vectorization is processed asynchronously via WP-Cron: if WP-Cron is disabled (e.g. `DISABLE_WP_CRON` is set to `true` in `wp-config.php`), posts will not be vectorized automatically. You can check this under **Tools Site Health Info WordPress constants**. On some managed hosting plans, a real server-side cron job is used instead — make sure it is configured and firing regularly. ### Can I disable API response caching? Yes. In the **Cache** tab of the Hub settings page, set the cache expiration to ** Disabled**. ### Is my API key stored securely? API keys are stored in the WordPress options table in the same way as other plugin settings. Make sure your WordPress database and hosting environment are secure. Keys are never exposed in the front end or in REST API responses accessible to non- administrators. ### Do I need an active add-on for vectorization to work? Yes. The Hub is a core infrastructure plugin — its vectorizers are disabled by default and must be activated by a compatible add-on (such as Creator Assistant Search). Without an active add-on, the plugin registers no vectorizers and no content is sent to OpenAI or Qdrant, even after you configure your API credentials. ### What is the difference between Chunk and Summary vectorization? The Hub provides two vectorization strategies, each stored in a separate Qdrant collection: * **Chunk** — the post content is split into word-level segments. Each segment is embedded individually and stored as a separate point in the `post_chunk` collection. This enables precise, paragraph-level retrieval. * **Summary** — an AI-generated summary of the post is produced via OpenAI Chat Completions, then embedded and stored as a single point in the `post_summary` collection. This enables high-level, concept-based semantic search. Add-ons can enable either or both strategies independently via the `creator_assistant_hub_post_vectorizer_post_chunk` and `creator_assistant_hub_post_vectorizer_post_summary` filters. ### Does the plugin support multilingual sites? Yes. When WPML is active, the plugin detects the language of each post and includes it in the Qdrant payload. Add-ons can then filter search results by language. Sites without WPML are fully supported and unaffected. ### Can other plugins or add-ons extend the Hub? Yes. The Hub exposes WordPress actions and filters that add-ons can use to register additional settings sections, tabs, and custom behaviour. Developer documentation will be published on [creator-assistant.it](https://www.creator-assistant.it). ## نقد و بررسی‌ها نقد و بررسی‌ای برای این افزونه یافت نشد. ## توسعه دهندگان و همکاران “Creator Assistant Hub” نرم افزار متن باز است. افراد زیر در این افزونه مشارکت کرده‌اند. مشارکت کنندگان * [ Alessandro Lioce ](https://profiles.wordpress.org/alessandrolioce/) [ترجمه “Creator Assistant Hub” به زبان شما.](https://translate.wordpress.org/projects/wp-plugins/creator-assistant-hub) ### علاقه‌ مند به توسعه هستید؟ [Browse the code](https://plugins.trac.wordpress.org/browser/creator-assistant-hub/), check out the [SVN repository](https://plugins.svn.wordpress.org/creator-assistant-hub/), or subscribe to the [development log](https://plugins.trac.wordpress.org/log/creator-assistant-hub/) by [RSS](https://plugins.trac.wordpress.org/log/creator-assistant-hub/?limit=100&mode=stop_on_copy&format=rss). ## گزارش تغییرات #### 1.0.0 * Initial release. * Automatic post and page vectorization using OpenAI `text-embedding-3-small`. * Qdrant Cloud integration for vector storage and retrieval. * Settings page with TOS acceptance, OpenAI, Qdrant, and cache configuration. * Block editor sidebar panel showing per-post vectorization status. * Post list column (“Vector Status”) with per-vectorizer status indicators. * Hourly background batch cron to automatically vectorize existing content. * Site Health integration reporting service status. * Daily Qdrant keep-alive cron for free-tier clusters. * Extensibility hooks for add-ons — settings: `creator_assistant_hub_loaded`, ` creator_assistant_hub_after_register_settings`, `creator_assistant_hub_settings_tabs`,` creator_assistant_hub_sanitize_settings`; OpenAI models: `creator_assistant_hub_openai_embedding_model`,` creator_assistant_hub_openai_chat_model`, `creator_assistant_hub_embedding_dimension`; vectorizer control: `creator_assistant_hub_post_vectorizer_post_chunk`, `creator_assistant_hub_post_vectorizer_post_summary`,` creator_assistant_hub_skip_vectorizer`, `creator_assistant_hub_post_vectorizer_text`,` creator_assistant_hub_post_vectorizer_chunks`; post types: `creator_assistant_hub_additional_post_types`,` creator_assistant_hub_excluded_post_types`; Qdrant payloads: `creator_assistant_hub_post_vectorizer_post_chunk_payload`,` creator_assistant_hub_post_vectorizer_post_summary_payload`, `creator_assistant_hub_post_vectorizer_post_chunk_search_filter`; collection lifecycle: `creator_assistant_hub_post_vectorizer_post_chunk_collection_created`,` creator_assistant_hub_post_vectorizer_post_summary_collection_created`. ## اطلاعات * نگارش **1.0.0** * Last updated **3 هفته پیش** * نصب‌های فعال **کمتر از 10** * نگارش وردپرس ** 6.6 یا بالاتر ** * Tested up to **6.9.4** * نگارش PHP ** 7.4 یا بالاتر ** * زبان * [English (US)](https://wordpress.org/plugins/creator-assistant-hub/) * Tags * [AI](https://fa.wordpress.org/plugins/tags/ai/)[embeddings](https://fa.wordpress.org/plugins/tags/embeddings/) [openai](https://fa.wordpress.org/plugins/tags/openai/)[semantic search](https://fa.wordpress.org/plugins/tags/semantic-search/) [vector search](https://fa.wordpress.org/plugins/tags/vector-search/) * [نمایش پیشرفته](https://fa.wordpress.org/plugins/creator-assistant-hub/advanced/) ## امتیازها هنوز هیچ نقدی ارسال نشده است. [Your review](https://wordpress.org/support/plugin/creator-assistant-hub/reviews/#new-post) [مشاهده همه بررسی‌ها](https://wordpress.org/support/plugin/creator-assistant-hub/reviews/) ## مشارکت کنندگان * [ Alessandro Lioce ](https://profiles.wordpress.org/alessandrolioce/) ## پشتیبانی چیزی برای گفتن دارید؟ نیاز به کمک دارید؟ [مشاهده انجمن پشتیبانی](https://wordpress.org/support/plugin/creator-assistant-hub/)