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.

HR RAG Chatbot helps employees get instant answers to HR policy questions using advanced AI technology. The plugin uses Retrieval Augmented Generation (RAG) to provide accurate, context-aware responses based on your company’s HR policies.
Features: 
* Multiple LLM support (Google Gemini API, OpenAI API) 
* Document indexing and chunking 
* Employee context awareness 
* Chat history logging 
* Gutenberg block and shortcode support
Third-Party Services: 
This plugin integrates with Google Gemini API and OpenAI API. These are third-party services and their use is subject to their respective terms of service and privacy policies. The plugin does not include or bundle these services – you must obtain your own API keys from the service providers.
<h3>External Services & Data Usage</h3>
This plugin connects to external AI services to generate responses. Please review the following information about data usage and privacy.
Services Used:
<ol>
<li>
Google Gemini API (if configured)
<ul>
<li>Used for: Generating AI responses to user questions</li>
<li>Data sent: User questions, HR policy document excerpts, employee context (designation, grade, etc.)</li>
<li>Privacy Policy: https://policies.google.com/privacy</li>
<li>Terms of Service: https://policies.google.com/terms</li>
</ul>
</li>
<li>
OpenAI API (if configured)
<ul>
<li>Used for: Generating AI responses to user questions</li>
<li>Data sent: User questions, HR policy document excerpts, employee context (designation, grade, etc.)</li>
<li>Privacy Policy: https://openai.com/privacy</li>
<li>Terms of Service: https://openai.com/terms</li>
</ul>
</li>
</ol>
What Data Is Transmitted: 
* User’s question text 
* Relevant HR policy document chunks (retrieved from your local database) 
* Employee profile information (if configured: designation, grade, department, location, years of service) 
* System prompts and model parameters
Important Privacy Notes: 
* Data is transmitted only when generating responses to user questions 
* No data is permanently stored by external AI providers for training purposes (per their policies) 
* All HR policy documents are stored locally in your WordPress database 
* You control what data is indexed and made available to the chatbot
Local WordPress Storage:
The plugin stores the following data in your WordPress database: 
* Option name: <code>hr_rag_options</code> – Plugin settings including API keys 
* Database tables: <code>wp_hr_rag_docs</code>, <code>wp_hr_rag_chunks</code>, <code>wp_hr_rag_chats</code> 
* Transients: <code>hr_rag_context_{session_id}</code> – Temporary employee context (expires after 1 hour) 
* Chat logs: Questions, answers, and context used for each conversation
Data Control:
You have full control over your data: 
* Delete API keys anytime from plugin settings 
* Clear all indexed documents using “Delete” buttons in Knowledge Base 
* Remove all chat logs from the database 
* Uninstall plugin to remove all data (see Uninstallation section) 
* No data is sent to external services without your API keys configured
Developer Contact: 
For questions about this plugin’s data handling, visit: https://faststeptech.com/contact/
<h3>Third-Party Service Attribution</h3>
This plugin uses the following third-party services:
<ul>
<li>Google Gemini API – AI language model service by Google</li>
<li>OpenAI API – AI language model service by OpenAI</li>
</ul>
These services are not included with the plugin. Users must register and obtain API keys independently from the respective service providers. Use of these services is subject to their terms of service and privacy policies.
<h3>Uninstallation</h3>
When you uninstall this plugin: 
1. All plugin options (<code>hr_rag_options</code>) are removed 
2. All database tables (<code>wp_hr_rag_docs</code>, <code>wp_hr_rag_chunks</code>, <code>wp_hr_rag_chats</code>) are deleted 
3. All transients are cleared 
4. No data remains in your WordPress installation

HR RAG Chatbot

AI-powered HR policy chatbot using RAG (Retrieval Augmented Generation) technology.

Fast RAGbot vs HR RAG Chatbot