Muhammad Adnan Hanif

Fast RAGbot is an intelligent chatbot that uses Retrieval-Augmented Generation (RAG) with support for multiple AI providers to provide accurate answers based exclusively on your website content.
Key Features:
<ul>
<li>Multi-LLM Support: Choose between Gemini, OpenAI (ChatGPT), or Claude</li>
<li>Multi-Domain Indexing: Index up to 3 different domains</li>
<li>Document Upload: Bulk upload PDF, DOCX, PPTX, XLSX, TXT, XML, CSV</li>
<li>Conversation Memory: Maintains last 5 Q&A turns per session</li>
<li>Smart Follow-ups: Suggests questions when answer not found</li>
<li>Widget Customization: Custom colors, logo, position, theme CSS</li>
<li>Pre-chat Form: Optional name/email collection</li>
<li>Chat Logs: Full conversation logging with CSV export</li>
<li>Shortcode Support: Embed chat anywhere with <code>[ragbot_chat]</code></li>
<li>Grounded Responses: Answers only from your content – no hallucinations</li>
<li>Source Citations: Provides URLs of source pages for transparency</li>
<li>Mobile Responsive: Works perfectly on all devices</li>
<li>Security First: Rate limiting, nonces, and proper sanitization</li>
</ul>
How It Works:
<ol>
<li>Crawls and indexes your website content</li>
<li>Creates semantic embeddings using Google Gemini</li>
<li>Retrieves relevant content based on user questions</li>
<li>Generates contextual answers with source citations</li>
<li>Displays responses in a floating chat widget</li>
</ol>
Perfect For:
<ul>
<li>Customer support automation</li>
<li>FAQ assistance</li>
<li>Product information queries</li>
<li>Company information lookup</li>
<li>Documentation assistance</li>
</ul>
<h3>External Services & Data Usage</h3>
This plugin connects to external AI services to provide chatbot functionality. Below is a detailed explanation of what data is transmitted and how it is used.
<h4>External Services Used</h4>
Google Gemini API (https://ai.google.dev/) 
* Used for: Text embeddings and AI text generation 
* Data sent: User questions, website content chunks, conversation history 
* Privacy Policy: https://policies.google.com/privacy 
* Terms of Service: https://policies.google.com/terms
OpenAI API (https://openai.com/) – Optional 
* Used for: Text embeddings and AI text generation (when selected as active model) 
* Data sent: User questions, website content chunks, conversation history 
* Privacy Policy: https://openai.com/privacy/ 
* Terms of Service: https://openai.com/terms/
Claude API by Anthropic (https://anthropic.com/) – Optional 
* Used for: Text embeddings and AI text generation (when selected as active model) 
* Data sent: User questions, website content chunks, conversation history 
* Privacy Policy: https://www.anthropic.com/privacy 
* Terms of Service: https://www.anthropic.com/legal/terms
<h4>What Data Is Transmitted</h4>
<ol>
<li>User’s Question: The text message submitted by the website visitor</li>
<li>Retrieved Document Chunks: Relevant excerpts from your indexed website content (typically 5-8 chunks of ~1000 characters each)</li>
<li>Conversation History: Last 5 question-answer pairs from the current session</li>
<li>Model Parameters: Temperature (0.1), max tokens (1000), and other generation settings</li>
</ol>
<h4>Data Usage & Storage</h4>
<ul>
<li>Data is transmitted only for generating responses to user questions</li>
<li>No data is stored or used for training by external AI providers (per their API terms)</li>
<li>Data transmission occurs in real-time and is not cached by the plugin on external servers</li>
<li>All API communications use HTTPS encryption</li>
</ul>
<h4>Local WordPress Storage</h4>
The plugin stores the following data in your WordPress database:
Options (wp_options table): 
* <code>ragbot_settings</code> – Plugin configuration including API keys, widget settings, and preferences
Custom Tables: 
* <code>wp_rag_docs</code> – Indexed website pages and uploaded documents 
* <code>wp_rag_chunks</code> – Text chunks created from indexed content 
* <code>wp_rag_embeddings</code> – Vector embeddings for semantic search 
* <code>wp_rag_sources</code> – Content source configurations (domains, settings) 
* <code>wp_rag_logs</code> – Chat conversation logs (optional, includes user name/email if pre-chat form enabled) 
* <code>wp_rag_url_queue</code> – Queue of URLs pending indexing
Session Data: 
* PHP sessions store temporary conversation history (cleared when session ends) 
* Browser sessionStorage stores chat UI state (cleared when tab closes)
<h4>Data Control & Privacy</h4>
User Control: 
* Delete API keys anytime from Settings > Fast RAGbot > Models tab 
* Clear all indexed content using “Clear Index” button 
* Reset plugin settings to defaults 
* Export or delete chat logs from Settings > Fast RAGbot > Chat Logs tab
Data Deletion: 
* Deactivating the plugin preserves your data 
* Uninstalling the plugin removes all database tables and options 
* Use “Clear Index” to remove indexed content without uninstalling
Privacy Compliance: 
* No data is shared with third parties except your chosen AI provider 
* Chat logs are optional and stored locally in your database 
* Pre-chat form (name/email collection) is optional and disabled by default 
* All user inputs are sanitized and validated 
* Rate limiting prevents abuse (10 requests per 60 seconds per IP)
<h4>Developer Privacy Policy</h4>
For questions about data handling, please review: 
* Your chosen AI provider’s privacy policy (links above) 
* Your own website’s privacy policy (you are the data controller) 
* WordPress.org privacy guidelines: https://wordpress.org/about/privacy/
<h3>Privacy Policy</h3>
This plugin acts as a data processor, sending user questions to your chosen AI provider. You (the site owner) are the data controller and responsible for: 
* Disclosing AI service usage in your privacy policy 
* Obtaining user consent where required by law (GDPR, CCPA, etc.) 
* Ensuring compliance with local privacy regulations
The plugin stores chat logs locally in your database. If you enable the pre-chat form, user names and emails are stored and should be disclosed in your privacy policy.
<h3>Support</h3>
For support, please visit the plugin’s support forum or contact the developer.
<h3>Credits</h3>
<ul>
<li>Supports embeddings and text generation using Google Gemini, OpenAI, or Claude.</li>
<li>Built with WordPress coding standards</li>
<li>Follows accessibility best practices</li>
</ul>

Fast RAGbot

AI-powered chatbot with multi-LLM support (Gemini/OpenAI/Claude), multi-domain indexing, document upload, and conversation memory.

Jacob Graham

ContentOracle AI Chat adds powerful no-code, fully-customizable, content-aware AI chat features to your site. By combining the power of AI with the insights provided by your site content, ContentOracle AI Chat brings your users an unrivaled chat experience.
The plugin features a comprehensive setup wizard to get you started quickly, advanced filtering and sorting capabilities to fine-tune AI responses, bulk embedding system for large content libraries, and shortcode support for maximum flexibility. With semantic text matching, inline content recommendations, and goal-based suggestions, your visitors get personalized, contextually relevant answers that draw from your unique content expertise.
Whether you’re a small business, content creator, or enterprise, ContentOracle AI Chat transforms your website into an intelligent, conversational interface that understands your content and helps visitors find exactly what they’re looking for.
<h3>Demo!</h3>
Try it Here: <a href="https://demo.scrywp.com/" rel="nofollow ugc">demo.scrywp.com/</a>
<h3>Intro</h3>
<iframe loading="lazy" title="Announcing ContentOracleAI Chat: a RAG AI Chat Plugin for WordPress!" width="750" height="422" src="https://www.youtube.com/embed/W9pr_weJHWA?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
The internet is changing. Millions of people every day ask artificial intelligence for recommendations, facts, and how-to knowledge. However, AI lacks the specialist knowledge that many online content creators and businesses provide.
ContentOracle AI Chat bridges this gap by combining your unique content with AI’s capabilities. It delivers tailored answers based on your content, recommends relevant posts, products, and events, and provides analytics to enhance your site’s user experience.
<h3>Features</h3>
<ul>
<li>Content-aware, retrieval augmented AI chat for site visitors.</li>
<li>Semantic text matching using text embeddings.</li>
<li>AI can recommend products, posts, events, and other content inline.</li>
<li>Chatbot cites its sources in its messages.</li>
<li>Inline content recommendations in chat bubbles.</li>
<li>Full support and customizability with the block editor.</li>
<li>No code or third-party integrations required!</li>
<li>Compatible with major page builders.</li>
<li>AI agent speech habits customizable.</li>
<li>Setup wizard for easy initial configuration.</li>
<li>Advanced content filtering and sorting system.</li>
<li>Shortcode support for placing blocks anywhere in any site builder.</li>
<li>Bulk embedding system for large content libraries (tested with 20k+ posts!).</li>
<li>Analytics dashboard with chat log management and insights.</li>
<li>Custom field (meta) filtering and sorting.</li>
<li>Post type and date-based filtering.</li>
<li>Multi-group filter system with AND/OR logic.</li>
<li>Automatic embedding generation for new content.</li>
<li>Embedding queue management system.</li>
<li>Data cleanup options on plugin deletion.</li>
<li>Mobile-optimized chat UI.</li>
<li>Streamed chat support.</li>
<li>Greeter section with suggested conversation starters.</li>
<li>Goal-based content recommendations.</li>
<li>Customizable button and styling options.</li>
<li>Nonce verification for enhanced security.</li>
<li>Support for multiple retrieval methods.</li>
<li>Chat log storage and analytics for user interaction tracking.</li>
<li>Configurable chat log retention periods with automatic cleanup.</li>
<li>Bulk chat log management with delete functionality.</li>
<li>Chat log viewer with pagination and sorting capabilities.</li>
<li>Floating chat widget with site-wide button and customizable styling.</li>
<li>WordPress customizer integration for live preview of floating chat appearance.</li>
<li>Multiple icon options for floating chat button (chat bubble, question mark, robot, etc.).</li>
<li>Responsive floating chat design optimized for mobile devices.</li>
<li>Widget area system for managing floating chat content.</li>
<li>Neutral color scheme by default for better brand compatibility.</li>
</ul>
<h3>3rd-Party Services</h3>
This plugin uses the ContentOracle AI API to process user messages, index website content, and generate responses. 
– API URL: <a href="https://app.scrywp.com" rel="nofollow ugc">https://app.scrywp.com</a> 
– Terms of Service: <a href="https://app.scrywp.com/terms" rel="nofollow ugc">https://app.scrywp.com/terms</a>
Data sent to the API includes user messages, site content, server/client domains, and analytics. Messages and content may be stored for debugging and feature development.
<h3>3rd-Party Libraries</h3>
This plugin uses the following libraries: 
– AlpineJS: Reactive data for UI (<a href="https://github.com/alpinejs/alpine" rel="nofollow ugc">GitHub</a>) 
– Floating UI: Tooltip positioning (<a href="https://github.com/floating-ui/floating-ui" rel="nofollow ugc">GitHub</a>) 
– PHP NLP Tools: Natural language processing (<a href="https://github.com/angeloskath/php-nlp-tools" rel="nofollow ugc">GitHub</a>) 
– CommonMark: PHP library to parse markdown server-side (<a href="https://github.com/thephpleague/commonmark" rel="nofollow ugc">Github</a>) 
– Marked: Markdown to HTML parser (<a href="https://github.com/markedjs/marked" rel="nofollow ugc">Github</a>) 
– DOMPurify: HTML XSS sanitizer (<a href="https://github.com/cure53/DOMPurify" rel="nofollow ugc">Github</a>)

ContentOracle AI Chat


Look, I know I am biased, since I develop this plugin.  But all my clients who have used it so far have been happy with it.


Clients have all been pleased!

ContentOracle AI Search seamlessly blends the power of generative AI with your website’s unique content.

Fast RAGbot vs ContentOracle AI Chat