Knowhalim

Elevate Your WordPress Search Experience 
Transform your WordPress site with advanced search capabilities using our Vector Search with Typesense plugin. Leveraging the power of OpenAI’s cutting-edge embedding models and the ultra-fast, typo-tolerant search engine Typesense, this plugin offers a seamless integration to enhance user search experience dramatically.
The Vector Search With Typesense plugin integrates OpenAI embedding model before inserting into your self-hosted Typesense instance using OpenAI API. This plugin is currently only supports the posts post type. To display the search form, using the shortcake [tswp_search].
Before installing the plugin, you will need to install Typesense in your own server and install the official Typesense plugin beforehand.
Features
<ul>
<li>OpenAI Integration: Utilizes OpenAI’s embedding models to analyze and index post content, enabling highly relevant search results based on content semantics rather than mere keyword matches.</li>
<li>Powered by Typesense: Experience lightning-fast search responses with Typesense, which is designed for instant, typo-tolerant search across large volumes of data.</li>
<li>Easy to Use: Simple to install and configure with the provided shortcake [tswp_search] to add a search form anywhere on your site.</li>
</ul>
Installation Requirements 
Before enjoying the enhanced search capabilities of Vector Search with Typesense, ensure you meet the following prerequisites:
Self-hosted Typesense Server: Vector Search requires a self-hosted Typesense server. Setting up your own instance ensures full control over your data and search performance. 
Typesense Plugin: Install the official Typesense plugin for WordPress as a prerequisite to integrate smoothly and harness the full potential of vectorized search capabilities.
<h3>Benefits:</h3>
<ul>
<li>Improved Search Accuracy: By embedding the content semantically, users receive more accurate and contextually relevant search results.</li>
<li>Enhanced User Experience: The fast and intuitive search interface keeps users engaged and improves overall site navigation.</li>
</ul>
OPEN AI 
Vector Search With Typesense utilizes the Embedding model from OpenAI from OpenAI via API endpoint. This plugin does not gather any information from your OpenAI account except for the number of tokens utilized. The data transmitted to the OpenAI servers primarily consists of the content of your article and the context you specify. It is important to check your <a href="https://beta.openai.com/account/usage" title="OpenAI API Usage" rel="nofollow ugc">API usage</a> on the <a href="https://openai.com/blog/openai-api" title="OpenAI API" rel="nofollow ugc">OpenAI</a> website for accurate information. Please also review their <a href="https://openai.com/privacy/" title="privacy policy" rel="nofollow ugc">Privacy Policy</a> and <a href="https://openai.com/terms/" title="TOS" rel="nofollow ugc">Terms of Service</a> for further information.
<h3>Disclaimer</h3>
Vector Search With Typesense is a plugin that helps to create a semantic search function in WordPress using OpenAI embedding model and Typesense. By using this plugin, users agree to monitor their own OpenAI usage and handle any problems or misuse by their visitors. The developer of WP Vector Search With Typesense and related parties are not responsible for any issues or losses caused by using the plugin.

Vector Search With Typesense

Display a vector search widget using Typesense and OpenAI embedding model using the shortcode [tswp_search].

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.

Vector Search With Typesense vs Creator Assistant Hub