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.

Abdul Rauf Abdul Rahaman

guruseoservices

Guru ChatBot is a next-generation, self-hosted AI chatbot that trains itself directly on your WordPress content. By utilizing Retrieval-Augmented Generation (RAG) and vector search, it provides exceptionally accurate responses to customer queries without relying on expensive external platforms.
The plugin features a fully dynamic client-side vector database powered by standard MySQL, avoiding complex external API database setup. It embeds your custom posts, terms, pages, and products using OpenAI or Google Gemini, automatically crawling the content and indexing it in real time.
<h4>Key Features</h4>
<ul>
<li>State-of-the-Art RAG Pipeline: Combines dynamic vector embeddings with a sophisticated prompt architecture.</li>
<li>OpenAI & Google Gemini Integration: Support for the latest GPT-4o, Gemini 1.5 Pro, and Gemini 1.5 Flash models.</li>
<li>Deterministic Temporal Intent Parser: Dynamically parses queries for relative times like “this weekend” or “next month” and filters events with calendar-relative precision.</li>
<li>Auto CPT Crawler: Automatically indexes custom post types (like EventON, Tribe Events Calendar, WooCommerce, etc.) in real time.</li>
<li>Built-in Analytics: Track chat sessions, user message latency, token usage, and user ratings from a unified dashboard.</li>
<li>Beautiful Premium Widget: Sleek, customizable floating chat bubble with customizable colors, icons, position, greeting messages, and quick starter questions.</li>
</ul>
<h3>External Services</h3>
This plugin relies on external third-party services to perform vector embeddings, chatbot content generation, and frontend widget security challenges. Users should review and agree to their terms and privacy policies.
<ol>
<li>
OpenAI API
<ul>
<li>Use Case: Generates vector embeddings for your WordPress content during the indexing pipeline and computes chat completions to answer user queries in the chatbot widget.</li>
<li>Data Transmitted: Text extracts of your indexed post types and terms, and user-submitted chat messages/history.</li>
<li>Terms of Service: https://openai.com/policies/terms-of-use</li>
<li>Privacy Policy: https://openai.com/policies/privacy-policy</li>
</ul>
</li>
<li>
Google Gemini API
<ul>
<li>Use Case: Generates vector embeddings for your WordPress content during the indexing pipeline and computes chat completions to answer user queries in the chatbot widget.</li>
<li>Data Transmitted: Text extracts of your indexed post types and terms, and user-submitted chat messages/history.</li>
<li>Terms of Service: https://policies.google.com/terms</li>
<li>Privacy Policy: https://policies.google.com/privacy</li>
</ul>
</li>
<li>
Cloudflare Turnstile
<ul>
<li>Use Case: Anti-spam bot protection to secure the public frontend chat widget from malicious automated requests.</li>
<li>Data Transmitted: User browser’s Turnstile interaction token and visitor’s IP address.</li>
<li>Terms of Service: https://www.cloudflare.com/website-terms/</li>
<li>Privacy Policy: https://www.cloudflare.com/privacypolicy/</li>
</ul>
</li>
</ol>

Guru ChatBot

Self-hosted AI RAG chatbot for WordPress using OpenAI/Gemini. Built-in native PHP vector search & automated real-time CPT content crawling.

Fast RAGbot vs Guru ChatBot