WP Manifestindependent plugin directory
manifest / ai / chabotrag

AI Chatbot PIP

WordPress AI support chatbot using RAG to answer with site-grounded context and cited sources.

by Dev Team PIP · github.com/madebygarzon/chabotrag · website

★ 0stars
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Install

No release zip yet. The repository archive installs, but the folder name will carry the branch suffix and updates will not flow:

wp plugin install https://github.com/madebygarzon/chabotrag/archive/refs/heads/main.zip
Readme github.com/madebygarzon/chabotrag ↗

ChaBotRag — AI Support Chatbot for WordPress (RAG)

WordPress plugin that delivers contextual customer support answers using Retrieval-Augmented Generation (RAG), grounded in the site’s own content.

Why this project matters

  • Solves a real business problem: scalable first-line support with better answer relevance.
  • Uses practical AI architecture (indexing + retrieval + generation), not just prompt wrappers.
  • Built as a production-oriented WordPress plugin with admin controls and observability.

Key Capabilities

  • Automatic indexing of WordPress content (posts/pages/CPT; WooCommerce optional)
  • Content chunking + overlap for better retrieval quality
  • Response generation constrained to indexed context
  • Conversation memory and configurable system prompts
  • Source references in answers
  • Admin dashboard for settings, indexing, and monitoring

Tech Stack

  • Platform: WordPress / PHP 8+
  • AI: DeepSeek (deepseek-chat)
  • Pattern: RAG (retrieve + generate)
  • UI: shortcode + floating widget

Plugin Highlights

  • [ai_chatbot] shortcode for inline embed
  • Responsive chat UI with typing indicator
  • Retry/backoff and error handling for API calls
  • Configurable model params (temperature/tokens)

Installation

  1. Install plugin (ZIP or FTP) under /wp-content/plugins/
  2. Activate in WordPress admin
  3. Configure API key and model params
  4. Run indexing from admin panel
  5. Add shortcode to target pages

Business Impact

  • Faster support response times
  • Better consistency in customer communication
  • Reduced manual support load for repetitive questions

Author

  • Created by Carlos Garzón

  • Software Engineer, Fullstack Developer.

Licenses

MIT