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.

ipportunities

Inqyra adds an intelligent chatbot to your WordPress site that answers visitor questions based on your pages, posts, and documents. Connect your own AI provider, keep your data on your server, and pay only what the AI actually costs.
Bring Your Own Key (BYOK) — You connect directly to your AI provider. No middleman, no markup. A typical conversation costs ~$0.003 with GPT-4o-mini.
<h4>5 AI Providers</h4>
Choose from OpenAI, Google Gemini, Anthropic (Claude), Mistral, or DeepSeek. Switch providers or models at any time — your content stays indexed.
<h4>How It Works</h4>
Inqyra uses Retrieval-Augmented Generation (RAG) to ground every answer in your actual content:
<ol>
<li>Crawl — Inqyra indexes your pages, posts, and custom post types</li>
<li>Embed — Content is converted to vector embeddings entirely in your browser (your content never leaves your server)</li>
<li>Search — When a visitor asks a question, Inqyra finds the most relevant content using vector similarity, keyword matching, and title/path boosting</li>
<li>Answer — The relevant context is sent to your chosen AI provider, which generates a grounded response</li>
</ol>
<h4>Key Features</h4>
<ul>
<li>5 AI providers — OpenAI, Gemini, Claude, Mistral, DeepSeek</li>
<li>Browser-based embeddings — Content never leaves your server for indexing</li>
<li>29 languages — Dutch, English, German, French, Spanish, Italian, Portuguese, and 22 more</li>
<li>Customizable widget — Colors, position, greeting, header, powered-by text</li>
<li>Auto-recrawl — Content re-indexes automatically when you update a post</li>
<li>Cost & token tracking — Monitor API usage and set budget limits</li>
<li>Rate limiting — Built-in IP-based rate limiting (20/min, 200/hr)</li>
<li>API key encryption — Keys encrypted at rest with AES-256-CBC</li>
<li>No cookies — The plugin does not set any cookies</li>
<li>Lightweight — Loads asynchronously with minimal impact on Core Web Vitals</li>
<li>Setup wizard — Live in under 5 minutes with the guided setup</li>
</ul>
<h4>Free Features</h4>
<ul>
<li>Floating chat widget with full customization</li>
<li>Unlimited pages indexed (post type: pages)</li>
<li>All 5 AI providers (BYOK)</li>
<li>Browser-based embeddings</li>
<li>RAG-powered answers</li>
<li>Conversation tracking (last 30 days)</li>
<li>Auto-recrawl on content changes</li>
<li>Cost & token tracking with budget limits</li>
<li>Query rewriting (LLM-powered query expansion)</li>
<li>29-language support</li>
</ul>
<h4>Premium Features</h4>
<ul>
<li>Index posts, products & custom post types</li>
<li>Document upload (PDF, DOCX)</li>
<li>Synonym management for improved search matching</li>
<li>Webhooks (Zapier, Make, CRM integration)</li>
<li>Lead extraction (email, phone, name, company)</li>
<li>Advanced analytics & statistics export</li>
<li>Page targeting (show widget on specific pages)</li>
<li>Extended conversation history & analytics</li>
<li>Escalation & appointment request detection</li>
<li>Email support</li>
</ul>
<h4>Works With Any Theme</h4>
Compatible with all modern WordPress themes and page builders including Elementor, Divi, Gutenberg, and WPBakery.
<h4>Privacy First</h4>
<ul>
<li>Embeddings are generated entirely in the browser — your content never leaves your server during indexing</li>
<li>Only when a visitor asks a question does relevant context go to the AI provider, through your own API key</li>
<li>No cookies are set by the plugin</li>
<li>GDPR-friendly architecture</li>
<li>Built in the Netherlands by Ipportunities B.V.</li>
</ul>
<h3>External services</h3>
This plugin connects to external third-party services to provide AI chatbot functionality. All connections require the site administrator to explicitly configure an API key before any data is sent. No data is transmitted without the administrator’s action.
<h4>AI Chat Providers</h4>
When a visitor sends a message through the chat widget, the visitor’s message along with relevant content from your website (retrieved via RAG search) and the system prompt configured by the administrator are sent to the chosen AI provider. The administrator selects which provider to use and provides their own API key. Only one provider is active at a time.
Anthropic (Claude) 
API endpoint: https://api.anthropic.com/v1/messages 
Used for: Generating chat responses based on your website content. 
<a href="https://www.anthropic.com/terms" rel="nofollow ugc">Terms of Service</a> | <a href="https://www.anthropic.com/privacy" rel="nofollow ugc">Privacy Policy</a>
OpenAI 
API endpoint: https://api.openai.com/v1/chat/completions 
Used for: Generating chat responses based on your website content. 
<a href="https://openai.com/terms" rel="nofollow ugc">Terms of Use</a> | <a href="https://openai.com/privacy" rel="nofollow ugc">Privacy Policy</a>
Google Gemini 
API endpoint: https://generativelanguage.googleapis.com/v1beta/models/ 
Used for: Generating chat responses based on your website content. 
<a href="https://policies.google.com/terms" rel="nofollow ugc">Terms of Service</a> | <a href="https://policies.google.com/privacy" rel="nofollow ugc">Privacy Policy</a>
Mistral AI 
API endpoint: https://api.mistral.ai/v1/chat/completions 
Used for: Generating chat responses based on your website content. 
<a href="https://mistral.ai/terms-of-service" rel="nofollow ugc">Terms of Service</a> | <a href="https://mistral.ai/privacy-policy" rel="nofollow ugc">Privacy Policy</a>
DeepSeek 
API endpoint: https://api.deepseek.com/v1/chat/completions 
Used for: Generating chat responses based on your website content. 
<a href="https://platform.deepseek.com/terms" rel="nofollow ugc">Terms of Service</a> | <a href="https://platform.deepseek.com/privacy" rel="nofollow ugc">Privacy Policy</a>
<h4>HuggingFace Transformers.js (ML Inference Service)</h4>
This plugin uses the Transformers.js library to perform machine learning inference entirely in the browser for generating vector embeddings. The JavaScript library itself (~850 KB) is bundled locally within the plugin at <code>assets/js/vendor/transformers.min.js</code>.
When the administrator triggers content indexing, the library downloads the ML model files (~50 MB) and WebAssembly runtime from HuggingFace CDN to the user’s browser. This is a service — the model files cannot be bundled locally in the plugin due to their size.
No website content or user data is sent to HuggingFace — the model runs locally in the browser after download. The CDN only serves the model files.
Library: @huggingface/transformers v3.4.1 (bundled locally) 
Model: Xenova/paraphrase-multilingual-MiniLM-L12-v2 (loaded from huggingface.co at runtime) 
<a href="https://huggingface.co/terms-of-service" rel="nofollow ugc">HuggingFace Terms</a> | <a href="https://huggingface.co/privacy" rel="nofollow ugc">HuggingFace Privacy</a>
<h4>Freemius</h4>
This plugin uses Freemius for license management, plugin updates, and optional usage analytics. When the plugin is activated, Freemius may communicate with its servers to validate licenses, deliver updates, and collect anonymous usage data (if the user opts in). Users are prompted for consent before any analytics data is collected.
<a href="https://freemius.com/terms" rel="nofollow ugc">Terms of Service</a> | <a href="https://freemius.com/privacy" rel="nofollow ugc">Privacy Policy</a>

Inqyra

AI-powered chatbot that answers visitor questions based on your own WordPress content. Bring your own API key — zero markup.

Fast RAGbot vs Inqyra