Retrieval Augmented Generation [R.A.G.] in WordPress

RAG (Retrieval-Augmented Generation) is an innovative way to enhance AI applications by combining your content with generative AI responses. With the Cacbot plugin, you can implement RAG directly on your WordPress site, empowering AI interactions with context-specific information drawn from your own content.

In this post, we’ll explore how Cacbot’s system instructions can make it easy to implement RAG seamlessly.

What Is RAG?

Retrieval-Augmented Generation allows AI to reference specific knowledge sources to generate more accurate and relevant responses. Instead of relying solely on pre-trained AI models, you can provide a library of information—retrieved dynamically from your WordPress content—for the AI to use during interactions. This information can come directly from your WordPress posts and pages. Or include multiple posts based on tags, etc.

This approach ensures that the AI delivers answers grounded in the unique content you’ve already created.

How Cacbot Makes RAG Possible

Cacbot enables you to customize AI responses using system instructions, which guide the assistant’s behavior and knowledge. Here’s how Cacbot facilitates RAG:

Use System Instructions as Content Sources: You can assign text to a _cacbot_system_instructions, but if you assign an integer that is a valid post_id, the content of that post will be used as the system instructions.
Dynamically Insert Content into Instructions: With WordPress plugins that allow embedding posts within posts (via shortcodes or similar methods), you can dynamically create system instructions.
Reference Custom Knowledge Bases: Provide your AI assistant with detailed, focused knowledge by embedding the most relevant content from your site into the system instructions.

How to Set Up RAG with Cacbot

Follow these steps to enable RAG with Cacbot on your WordPress site:

Prepare Your Content: Identify the WordPress posts or pages you want the AI to reference. These could include articles, guides, or FAQ pages.
Create a Cacbot Conversation: Go to Cacbot Conversations in the WordPress admin panel and click Add New. Set the conversation visibility to Private for testing purposes.
Set Up System Instructions: Add the custom field _cacbot_system_instructions to the conversation post. Set its value to the post ID of the content you want to use as system instructions.
Test Your Setup: View the conversation on the frontend. Type a query related to the topic, and the AI will respond using the embedded knowledge from your WordPress content.

Why Use RAG with Cacbot?

Custom AI Responses: Ensure the AI replies with answers relevant to your WordPress site’s content.
Dynamic Knowledge Updates: Easily update your AI’s knowledge base by modifying the referenced posts.
Simplified Implementation: No need for external integrations—all data stays within your WordPress environment.

Practical Use Cases

Here are some ways you can use RAG with Cacbot to create impactful AI-powered applications:

Knowledge Assistants: Use your existing WordPress articles to create an AI assistant that provides precise, topic-specific answers.
Customer Support: Reference FAQ pages or help articles to automate support responses.
Interactive Learning: Build AI-driven courses or tutorials that guide users through your content.

Start Building Smarter AI with Cacbot

Cacbot empowers you to unlock the potential of Retrieval-Augmented Generation directly on your WordPress site. Whether you’re creating knowledge assistants, improving user engagement, or automating customer interactions, RAG with Cacbot makes it simple and effective.

Ready to get started? Download Cacbot today and transform your AI-powered applications with retrieval-augmented generation!

Enjoy building smarter AI experiences with Cacbot!

WordPress is the place for Artificial Intelligence

Introducing Cross Domain Artificial Intelligence (CDAI)

Let’s consider something new: Cross Domain Artificial Intelligence (CDAI). Unlike today’s typical AI interactions—where you visit a single domain (for example, chatgpt.com), input a prompt, and receive a response—CDAI involves a request that moves across multiple domains before delivering a coherent result to the user.

What is CDAI?

In a CDAI scenario, you might make a request on one website, but the underlying processing hops between various domains. The final response you see is the result of multiple processes working together behind the scenes.

Key Characteristics of CDAI

Black Box Nature

• Opaque Processing: When you send an AI request that could involve CDAI, you have no insight as to how the process works. Unlike a simple function call where you know exactly how the input translates to the output, here you can’t tell how many “hops” your request went through or which other AI systems were consulted.

• Lack of Fixed Input/Output Quality: The process may yield variable results because the system doesn’t operate as a straightforward, deterministic function.

• Variable Processing Duration: AI requests sometime take a long time. Since they move across multiple domains, in a CDAI request, the total processing time isn’t fixed. The solution today is to hold open HTTP requests, and to trap the user on a single domain with some kind of animation widget.

• User Experience Solution: To manage user expectations, interfaces often display a “thinking” animation or progress indicator while waiting for the response.

Cacbot

Cacbot addresses CDIA using the WordPress comment system asynchronously. Here’s how it works:

  • A user posts a comment on a Cacbot Conversation, and the comment is immediately published on the WordPress site.

  • The comment is then “sent up” to an AI – whether that’s another domain, cacbot.com, a local AI, or chat-gpt etc., it doesn’t matter. Once it is sent, the originator doesn’t have any way of tracing the CDAI request.

  • Once the AI processes the request, the response is sent back to the WordPress site via its built-in API.

  • This design allows the system to handle very large, lengthy, multi-domain processes without making the user wait indefinitely in uncertainty.
By thinking beyond a single-domain paradigm, CDAI opens up new possibilities for distributed and modular AI processes. It challenges our conventional ideas about how and where AI operates, paving the way for more flexible, scalable, and robust AI systems in the future.

Is WordPress the future of AI?

True Artificial General Intelligence (AGI) will arise when most humans contribute—when collective knowledge fuels AI’s growth. WordPress, as a nearly ubiquitous human publishing platform, is the gateway for many to share their knowledge. By integrating AI into WordPress, we can harness this vast reservoir of human insight, democratizing AI development. The future of AI isn’t just about advanced models—it’s about leveraging humanity’s collective intelligence through platforms like WordPress.

Create an Image with Cacbot

Describe a picture and click the image icon.

Talking to the Cacbot

Cacbot stands for The Comments are a Chatbot. It transforms the built in WordPress comments system into a powerful artificial intelligence agent interface.

When you make a comment on a Cacbot enabled post, the Cacbot assistant will respond as if being spoken to. The conversation will be captured in the default WordPress comment system. You can use the result any way you want.

Try it out on your WordPress website for free.

Getting Started

Download the ZIP File
In your WordPress admin, navigate to Plugins > Add New, then upload cacbot.zip and activate it.

Cacbot Conversation

Go to Cacbot Conversations in the WordPress admin.
Click Add New.
Name your conversation (for example, “Test”).
Set the conversation visibility to Private and click Publish.

Use Cacbot

View the conversation on the frontend.
Type your message in the comment box.
Once you submit, the Cacbot Assistant will reply, and its response is saved as a WordPress comment.