Geweb

<p>Live demo: https://aisearch.mygeweb.com/</p>
<p>Geweb AI Search transforms your WordPress search into an intelligent assistant powered by Google Gemini AI. Instead of returning a plain list of matching posts, it understands the user’s question and provides a direct, contextual answer — along with links to the source pages.</p>
<p>The plugin intercepts the standard WordPress search form and opens a modal with two modes: instant autocomplete suggestions (via WP_Query) and a full AI chat powered by Google Gemini File Search.</p>
<h4>Key Features</h4>
<ul>
<li><strong>AI-Powered Answers</strong> — Uses Google Gemini File Search to find relevant content and generate natural-language answers</li>
<li><strong>Conversation History</strong> — Users can ask follow-up questions; the context is maintained across the session</li>
<li><strong>Source Attribution</strong> — Every AI answer includes links to the pages it was based on</li>
<li><strong>Instant Autocomplete</strong> — Traditional keyword search with live suggestions while typing</li>
<li><strong>Automatic Indexing</strong> — Posts are automatically uploaded to Gemini when published or updated</li>
<li><strong>Bulk Library Generation</strong> — Index all existing content with one click and a live progress indicator</li>
<li><strong>Multiple AI Models</strong> — Choose between Gemini 2.5 Flash, 2.5 Pro, and Gemini 3 models</li>
<li><strong>Multiple Post Types</strong> — Index any public post type: posts, pages, or custom post types</li>
<li><strong>Secure API Key Storage</strong> — API key is encrypted with libsodium before being stored in the database</li>
</ul>
<h4>How It Works</h4>
<ol>
<li>The plugin converts your WordPress posts to Markdown format (with URL and title in frontmatter)</li>
<li>Each document is uploaded to a Google Gemini File Search Store</li>
<li>When a user submits a search query, Gemini searches the indexed documents and generates an answer</li>
<li>The answer is displayed in a chat modal along with source links</li>
</ol>
<h4>Third-Party Services</h4>
<p>This plugin connects to the <strong>Google Gemini API</strong> to index your content and answer user queries.</p>
<ul>
<li>API endpoint: https://generativelanguage.googleapis.com/</li>
<li>Terms of Service: https://ai.google.dev/gemini-api/terms</li>
<li>Privacy Policy: https://policies.google.com/privacy</li>
</ul>
<p><strong>Data sent to Google:</strong></p>
<ul>
<li>Your post content (title and body), converted to Markdown, is uploaded to Gemini for indexing</li>
<li>User search queries are sent to Gemini to generate answers</li>
</ul>
<p>By using this plugin you agree to Google’s Terms of Service and Privacy Policy. You are responsible for the content you index.</p>
<h4>Requirements</h4>
<ul>
<li>PHP 7.2 or higher (libsodium is bundled with PHP 7.2+)</li>
<li>WordPress 6.0 or higher</li>
<li>Google Gemini API key (free tier available at https://aistudio.google.com/app/apikey)</li>
</ul>
<h3>Customization</h3>
<h4>How do I customize the AI behavior?</h4>
<p>You can modify the AI system instruction and available models:</p>
<pre><code>// Customize AI system instruction
add_filter('geweb_aisearch_gemini_system_instruction', function($instruction) {
    return $instruction . "\nAlways respond in a friendly, conversational tone.";
});

// Limit available models in settings
add_filter('geweb_aisearch_gemini_models', function($models) {
    return ['gemini-2.5-flash', 'gemini-2.5-pro'];
});
</code></pre>
<p>Available filters:<br />
* <code>geweb_aisearch_gemini_system_instruction</code> – Modify AI prompt/behavior<br />
* <code>geweb_aisearch_gemini_models</code> – Customize available model list in settings</p>
<h4>How do I translate the interface texts?</h4>
<p>You can customize all search interface labels using filters in your theme’s functions.php:</p>
<pre><code>// Customize search placeholder
add_filter('geweb_aisearch_search_placeholder', function($text) {
    return 'What would you like to know?';
});

// Customize "Ask AI" button text
add_filter('geweb_aisearch_ask_ai_button_text', function($text) {
    return 'Ask Pythia';
});

// Customize AI modal title
add_filter('geweb_aisearch_ai_modal_title', function($text) {
    return 'Oracle Pythia';
});

// Customize AI textarea placeholder
add_filter('geweb_aisearch_ai_textarea_placeholder', function($text) {
    return 'Write your detailed question to Pythia';
});
</code></pre>
<p>Available filters:<br />
* <code>geweb_aisearch_search_placeholder</code> – Main search input placeholder<br />
* <code>geweb_aisearch_ask_ai_button_text</code> – “Ask AI” button label<br />
* <code>geweb_aisearch_ai_modal_title</code> – AI chat modal header<br />
* <code>geweb_aisearch_ai_textarea_placeholder</code> – AI question textarea placeholder</p>
<h3>Third-Party Libraries</h3>
<p>This plugin bundles the following open-source library:</p>
<p><strong>league/html-to-markdown</strong><br />
* Version: 5.x<br />
* Author: The League of Extraordinary Packages<br />
* License: MIT License<br />
* Repository: https://github.com/thephpleague/html-to-markdown<br />
* Purpose: Converts WordPress post HTML content to Markdown for AI indexing</p>
<h3>Support</h3>
<ul>
<li>GitHub: https://github.com/mygeweb/geweb-ai-search</li>
</ul>


Geweb AI Search

AI-powered search for WordPress using Google Gemini. Smart answers, source links, and instant autocomplete — all in one modal.

krunalb18

<p>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 <em>meaning</em> of a search query.</p>
<p><strong>Example:</strong> A user searching “heart workouts” will find your post titled “Best cardiovascular exercises” – even though no words overlap – because the meanings are similar.</p>
<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>
<p>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:</p>
<ul>
<li><strong>OpenAI:</strong> https://openai.com/policies/privacy-policy | https://openai.com/policies/terms-of-use</li>
<li><strong>Google Gemini:</strong> https://policies.google.com/privacy | https://ai.google.dev/terms</li>
</ul>
<p>No data is sent without your API key being configured. Data is only transmitted when posts are published or during bulk indexing.</p>
<h4>Performance Note</h4>
<p>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.</p>


VecPost AI Search for Posts

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

Geweb AI Search vs VecPost AI Search for Posts