Maca Tjatt v1.3.2
AI chat for your WordPress website using the WordPress AI Client and a local search index.
Tags / rag
41 WordPress plugins tagged “rag”. Every result links to a crawlable PlugIndex profile.
AI chat for your WordPress website using the WordPress AI Client and a local search index.
AI chatbot that answers visitor questions from your own pages, posts and products. Privacy-aware. Works with your ChatGPT, Claude or Gemini API key.
Mind Web Concierge is an intelligent WordPress assistant powered by RAG technology. It acts as a digital concierge for your website - guiding users th …
Simple AI-powered chatbot using modern AI LLM API providers with RAG technology.
AI chatbot for WordPress and WooCommerce. Answers questions from your site content via a local RAG stack (Ollama + Qdrant) or your OpenAI key.
Supercharge your WordPress site with AI for content, chatbot, and forms.
Build a RAG system from WordPress content using OpenAI embeddings, Qdrant vector search, and your selected AI chat provider.
Semantic search of website content with meaning...
Smart AI Chat Assistant & RAG Chatbot for WordPress. Provide accurate, conversational answers from your posts, pages, and WooCommerce products usi …
Generate a hierarchical RAG Sitemap and optional llms.txt from WordPress content, organizing categories and source pages for AI without vectors.
AI chatbot with RAG on your content and WooCommerce products. Bring your own key: Gemini (free tier), Claude, OpenAI, or local Ollama.
Adds RAG-style vector retrieval to WordPress search using native database vector indexes and configurable embeddings.
Adds AI-generated summaries to your search results by retrieving relevant content from your site.
Embed the Smart Support AI chat widget with customizable visuals and configuration.
SmartAI Search AI system using OpenAI embeddings with local database vector store and frontend chat interface.
AI-powered chatbot using RAG (Retrieval-Augmented Generation) to answer questions based on your WordPress content.
Expose your WordPress content as Markdown, JSON, RAG chunks, and an llms.txt index so LLMs and AI agents can read it cleanly.