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What is RAG in AI?


Retrieval Augmented Generation (RAG) is a game-changer in AI for marketing leaders. It's a breakthrough that lets you add crucial context to AI, transforming how it understands and interacts with data. With RAG, you can build intelligent, context-aware applications that elevate your marketing strategies. This means AI generates relevant content and does so with an understanding of your specific marketing goals and audience. In a competitive landscape, RAG is your key to staying ahead, offering precise, efficient, and impactful marketing solutions. Embrace RAG to keep your brand at the forefront of innovation and market relevance.

Why RAG Matters to Marketers


Generative AI has changed everything when it comes to marketing. However, it does come with some challenges.

  1. The need to keep content consistent and on-brand.
  2. Getting specific content that is context-aware.
  3. Non-standardized processes require significant manual post-processing of content created by AI.

RAG workflows for content marketing provide a solution to all three of these problems. By creating new content from your existing longer-form content, you can generate consistent results that are on-brand and in your voice. You can use your documents to give the LLM the context it needs to write for your specific use case. Lastly, by programmatically creating the content as part of a workflow, you can standardize on the highest quality results, which builds consistent, high-quality content as a standardized and automated process.

Building RAG Workflows in 3 Steps


Building a workflow may seem intimidating, but it is surprisingly simple. As we walk through the examples on this website, you'll see it is a simple three-step process.

Test Standardize Automate
This is where you can get creative. Test out many different formats to see which content helps you create your unique style and resonates the best with your audience. Once you have designed the type of content you want to create, it's time to standardize your creation process. This will ensure you are consistently creating the high-quality content people have come to expect from your brand. In this step, you take the entire process from gathering the seed content to creating the new content and post-processing the content to build brand consistency and put it together in a simple program.


This project aims to explore the limits of what can be accomplished with AI, as well as spark new ideas that will help marketers scale in their roles. For an overview of how this project started and what you can expect, check out the AI Content Marketer page or dive right in.