Freemium Version Coming Soon//Stay tuned.

// WP-RAG

Turn your WordPress content
into an AI chatbot.

WP-RAG brings Retrieval-Augmented Generation to WordPress. Index your pages, posts, and uploaded documents — then let visitors ask questions and get focused answers with source citations.

Get in Touch Learn More
WP-RAG chat modal — AI-powered chatbot powered by your WordPress content
// WHAT IS WP-RAG?
WP-RAG chatbot widget in the browser
// chatbot widget — public-facing view

Most search tools return a list of links. WP-RAG gives users answers.

RAG stands for Retrieval-Augmented Generation — a technique where an AI model is given relevant context retrieved from your own content before it generates a response. Instead of relying solely on what a language model was trained on, RAG grounds the answer in your actual data. The result is accurate, source-cited responses that reflect your site, not generic internet knowledge.

RAG is a well-established pattern in the Python and data-science world, but it has rarely made its way into the PHP ecosystem — and almost never as a native WordPress plugin. Typically it requires separate infrastructure: a Python service, a vector database like Pinecone or Chroma, and glue code to connect everything to your CMS.

WP-RAG is different. The entire RAG pipeline — content ingestion, text chunking, vectorization, embedding storage, and similarity retrieval — runs entirely within WordPress and MariaDB. There is no Python runtime, no external vector store, and no additional services to manage. The only external call is to OpenAI to generate embeddings and chatbot responses.

Your WordPress content is the knowledge base. WP-RAG keeps it that way.

Install the plugin, index your content, and drop one shortcode onto any page or post:

[hauswprag_chat]
Contact Us
// ADMIN DASHBOARD

Index your content from a single dashboard.

Monitor indexing progress, check your LLM provider status, and manage your content index — all from the familiar WordPress admin interface.

// HOW IT WORKS

Four steps. One shortcode.

1 — Install

Upload the provided zip (available soon), then activate it on your site.

2 — Configure

Add your OpenAI API key, choose your embedding model, and select which content types to index.

3 — Index

Run the indexer to process your pages, posts, and uploaded documents. Monitor progress from the dashboard.

4 — Deploy

Paste [hauswprag_chat] into any page, post, or widget area. The chatbot is live instantly.

Shortcode placement in WordPress editor
// shortcode placement in the WordPress block editor
// REQUIREMENTS

What your server needs to run WP-RAG.

WP-RAG uses MariaDB's native vector storage to keep your embeddings entirely within your existing WordPress database — no external vector store required.

Current requirements
  • MariaDB 11.8.3 or higher — required for native vector column support used by the embeddings index.
  • PHP 8.0 or higher — required for plugin compatibility and modern WordPress support.
  • WordPress 6.0 or higher — recommended for full block editor and REST API support.
  • OpenAI API key — used for generating embeddings and chatbot responses in the free version.

Pro version — coming soon: MySQL 9 vector support is on the Pro roadmap, enabling WP-RAG to work on hosts running MySQL 9 instead of MariaDB. Additional LLM providers including Claude / Anthropic and Ollama self-hosted models will also be available in Pro.

Why MariaDB?

MariaDB 11.8 introduced a first-class VECTOR column type and VEC_DISTANCE_EUCLIDEAN function that let WP-RAG store and query embeddings using SQL — keeping everything in one place with no additional infrastructure.

Not sure about your host?

Most managed WordPress hosts — including Kinsta, WP Engine, Cloudways with MariaDB stacks, and self-hosted setups — can be configured to meet these requirements. Contact us if you need help assessing compatibility.

// PRICING

Start free. Scale with Pro.

The free version lets you evaluate WP-RAG on your WordPress site — includes 30 conversations per month.

Free

Available Soon

  • 30 conversations per month
  • OpenAI support
  • Up to 25 indexed content items
  • Page and post indexing
  • Media document indexing
  • Source-based answers
  • Chatbot shortcode placement

Pro Coming Soon

See all Pro features →

Planned release

  • Higher indexing limits
  • More control over indexed content
  • Custom chatbot themes
  • Claude / Anthropic support
  • Ollama & self-hosted model options
  • MySQL 9 vector support
  • Advanced analytics
  • Thumbs up / down feedback
  • Feedback loops for answer quality
  • Priority support

Need more than a WordPress plugin can provide? Enterprise teams with large document volumes, advanced processing, or private infrastructure requirements should explore Premium options ↓

// BUILT FOR

Built for support, documentation, and knowledge sites.

WP-RAG is ideal wherever visitors need answers — not just links.

// Business

Give customers instant answers about your services, pricing, and process from your existing website copy.

// Docs sites

Let developers and users query your documentation naturally instead of hunting through pages.

// Support portals

Deflect common support tickets by letting your knowledge base answer questions automatically.

// Product guides

Surface the right spec or feature from dense product documentation without overwhelming the reader.

// Training libraries

Employees can query training materials, onboarding docs, and internal processes conversationally.

// PDF-heavy sites

PDFs, Word docs, and spreadsheets are first-class citizens in the index — not invisible to users.

// PREMIUM

For organizations that need more than WordPress can provide.

Pro is the right choice for most WordPress sites. Premium is designed for larger enterprises with complex document volumes, advanced processing requirements, or strict infrastructure and data privacy needs.

// Pro stays 100% WordPress & PHP — Premium adds a dedicated RAG engine running alongside it.

Premium Self-Hosted Enterprise

A private RAG engine deployed on your own infrastructure. WordPress remains the publishing and chatbot front end — a dedicated Python service handles the heavy lifting.

  • Python FastAPI RAG orchestration engine
  • Postgres + pgvector or Supabase storage
  • Docker Compose turnkey deployment
  • Advanced PDF, Word & OCR extraction
  • Background ingestion workers
  • Reranking and advanced chunking strategies
  • Local or private LLM model support
Premium Managed Enterprise

Connect your WordPress site to managed RAG infrastructure operated by Haus Creatives. No servers to run — enterprise-grade processing, retrieval, and analytics included.

  • Hosted ingestion and vector storage
  • Advanced document extraction & OCR
  • Managed Postgres/pgvector retrieval
  • Conversation analytics & feedback reports
  • Multi-provider LLM routing
  • Infrastructure monitoring and updates
  • Priority support and SLA

// Premium pricing is custom. Contact us to discuss your requirements.

// BEYOND THE PLUGIN

Need more than
a plugin can hold?

WP-RAG is our production RAG stack packaged for WordPress. The embedding pipeline, vector search, and retrieval logic are the same foundation we build into bespoke systems for enterprise clients.

If your organization needs RAG integrated into a system that isn't WordPress — private knowledge bases, multi-tenant architectures, or RAG pipelines connected to an existing CRM or intranet — that's a custom engagement. We've built both.

// When to talk to us

  • Your knowledge base can't live in WordPress
  • You need multi-tenant RAG across teams or clients
  • Compliance or data residency rules out a hosted plugin
  • RAG needs to connect to your CRM, ERP, or internal systems
  • You need self-hosted or private LLM infrastructure
// LET'S WORK TOGETHER

Give your WordPress site
an AI assistant.

Install WP-RAG, index your content, add the shortcode, and let visitors ask questions instead of digging through pages and documents.

Get in Touch
// SAY HELLO

Do you want to talk about WP-RAG or your web project? Reach us at hi@hauscreatives.com !

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