Muhammad Adnan Hanif

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.

Kevin Batdorf

Generate and add a simple wavy divider to anywhere on your page, giving you the ability to separate blocks of content with an impressive, professional-looking design element.
<ul>
<li>Follow <a href="https://twitter.com/kevinbatdorf" rel="nofollow ugc">@kevinbatdorf</a> on Twitter</li>
<li>View on <a href="https://github.com/KevinBatdorf/wavy-divider" rel="nofollow ugc">GitHub</a></li>
</ul>
<h4>Features</h4>
<ul>
<li>Color settings, including opacity.</li>
<li>Choose between wide, normal, and full width</li>
<li>Choose between rounded edges and stright lines</li>
<li>Fine tune curves and lines with built-in controls</li>
<li>Supports top or bottom shapes</li>
<li>Stack multiple dividers with group block (see below)</li>
<li>Gradients – easy to use (see below)</li>
<li>Control height, number of points, and direction</li>
<li>Use a single, smooth point to give you a curved divider</li>
</ul>
<h4>Gradients</h4>
To use a gradient, you need to wrap the wavy divider in a group block and apply the gradient to the group block. After that, create a wavy shape and apply a color that matches your content background (e.g. white). You can then switch the direction of the divider (under settings) to give a mirrored effect. This way the gradient is applied to the group block and the wavy divider acts as a mask.
<h4>Group Block</h4>
If nesting the wavy divider in a group block, you may want to remove the padding and margins so that the wavy divider will not have spacing around it. To handle this, select the group block, and under “Advanced” (at the bottom of the settings area) add these two classes:
<ul>
<li><code>wavy-divider-remove-margin</code></li>
<li><code>wavy-divider-remove-padding</code></li>
</ul>
<h4>Patterns</h4>
Within the block inserter, under the Patterns tab, select ‘Wavy Divider’ from the dropdown menu to view some example patterns.

Wavy Divider

A colorful, fun, lightweight divider block to energize your website with character and pizazz

HR RAG Chatbot vs Wavy Divider