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.

krunalb18

VecPost AI Search for Posts replaces WordPress’s default SQL LIKE search with vector-based semantic search. Instead of matching exact words, it understands the meaning of a search query.
Example: A user searching “heart workouts” will find your post titled “Best cardiovascular exercises” – even though no words overlap – because the meanings are similar.
<h4>How It Works</h4>
<ol>
<li>When you publish a post, the plugin sends its content to your chosen AI provider (OpenAI or Google Gemini) to generate a vector embedding – a list of numbers that represents the meaning of the text.</li>
<li>These numbers are stored in your database.</li>
<li>When a user searches, their query is also converted to numbers, and the plugin finds posts whose numbers are closest – meaning most semantically similar.</li>
</ol>
<h4>Features</h4>
<ul>
<li>Semantic search powered by OpenAI (<code>text-embedding-3-small</code> or <code>text-embedding-3-large</code>) or Google Gemini (<code>gemini-embedding-001</code>)</li>
<li>Hybrid re-ranking: combines semantic similarity with keyword matching for best results</li>
<li>Gutenberg block and shortcode <code>[vecpost_semantic_search]</code> for easy placement</li>
<li>Bulk indexer with progress bar for existing posts</li>
<li>WP-CLI support: <code>wp vecpost-semantic-search index</code>, <code>wp vecpost-semantic-search status</code>, <code>wp vecpost-semantic-search search "query"</code></li>
<li>Configurable scoring thresholds via Settings -> VecPost – AI Semantic Search for Posts</li>
<li>Automatic re-indexing when you switch embedding models</li>
<li>Results cached via WordPress object cache (Redis/Memcached compatible)</li>
</ul>
<h4>Third-Party Services</h4>
This plugin sends post content to external AI APIs to generate embeddings. By using this plugin, you agree to the terms of service and privacy policies of your chosen provider:
<ul>
<li>OpenAI: https://openai.com/policies/privacy-policy | https://openai.com/policies/terms-of-use</li>
<li>Google Gemini: https://policies.google.com/privacy | https://ai.google.dev/terms</li>
</ul>
No data is sent without your API key being configured. Data is only transmitted when posts are published or during bulk indexing.
<h4>Performance Note</h4>
Semantic search requires loading all embeddings into PHP memory for comparison. This works well for sites with up to approximately 1,500 posts. For larger sites, a dedicated vector database (pgvector, Qdrant, or Pinecone) is recommended.

VecPost AI Search for Posts

AI-powered semantic search for WordPress posts. Understands meaning, not just keywords. Powered by OpenAI or Google Gemini.

UZ AI Search vs VecPost AI Search for Posts