At Dreamwriter.ai, our mission has always been to help B2B marketing and sales teams create high-performing content that resonates with their audience.

Today, we’re excited to announce a major upgrade to our platform’s back-end architecture: Dreamwriter now leverages a RAG (Retrieval-Augmented Generation) Vector Database. This represents a significant leap in the quality and relevance of the content our customers can generate.

The Evolution of Dreamwriter’s Content Generation

How Dreamwriter Works

Dreamwriter enables customers to create a Workspace brand, where they set their brand’s fonts, colors, and overall identity. They can then upload documents or link webpages to train Dreamwriter on their company’s unique value proposition. This includes:

• Webpages like homepages, solutions pages, and use case pages

• Documents like messaging guides, sales decks, and other collateral

Customers can also create campaigns, where they provide additional resources specific to a product, service, or use case. Campaigns also allow users to fine-tune targeting by adding:

• Industry-specific messaging

• Role-specific messaging

• Company-specific personalization

This functionality powers hyper-personalized content that speaks directly to a company’s audience.

What’s Changed: Moving from Summaries to Full Data Utilization

Previously, Dreamwriter would analyze all linked webpages and uploaded documents and generate a concise summary of the company’s value proposition. The same process applied when users created campaigns—the platform would summarize the uploaded content to guide content generation.

Now, with the RAG Vector Database, Dreamwriter stores and retrieves the entire body of text from uploaded and linked content. This means that instead of working from summaries, Dreamwriter now directly pulls from all the real, sourced information provided by the user.

Why This Matters: Addressing Customer Pain Points

Our customers provided valuable feedback: while Dreamwriter produced content quickly, it sometimes went off-message or fabricated key performance indicators (KPIs) that didn’t align with their business. The need for heavy post-generation editing reduced the efficiency gains that Dreamwriter was designed to deliver.

The Impact of the RAG Vector Database

By storing and indexing all customer-provided content, Dreamwriter now: 

• Extracts relevant case studies, quotes, and proof points 

• Accurately represents the company’s messaging and key metrics 

• Generates content that is more aligned with the brand’s actual voice

This results in significantly higher-quality content that requires less manual editing, allowing marketing and sales teams to publish polished, impactful materials faster.

This Is Just the Beginning – We Need Your Feedback!

This is our first version release of the RAG Vector Database. While we spent weeks testing internally, we quickly realized that we needed a higher volume of feedback from real users to refine and improve this functionality. If you encounter anything that isn’t working perfectly, we’d love to hear about it!

• Send us your feedback at [email protected]

• Or provide feedback directly within the Dreamwriter app

We are committed to continuously improving this feature, and your input is invaluable in making it even better.

A Sneak Peek at What’s Coming Next

This new RAG-powered foundation opens exciting new possibilities, and we’re already working on two major feature updates that will provide tremendous value to our users:

1. Customizable Text vs. Image Balance

You’ll soon be able to choose between three content styles when generating content:

• “Heavy text, less images” – Ideal for long-form content like whitepapers or case studies

• “Balanced text and images” – A well-mixed approach for engaging presentations and sales materials

• “Less text, heavy images” – Perfect for highly visual storytelling like one-pagers or social media content

This will allow users to create deeper, more detailed content while still staying on-brand. With the new RAG-powered backend, Dreamwriter will accurately build in-depth messaging based on real company materials.

2. Advanced Content Repurposing

We’re revamping our content repurposing feature! Soon, you’ll be able to upload a file or link a webpage- such as a blog post or landing page- and Dreamwriter will transform it into a fully designed PPT or PDF. With our RAG-based approach, the repurposed content will be more accurate and better aligned with your messaging than ever before.

Try the New Dreamwriter Today!

The introduction of the RAG Vector Database is a game-changer for Dreamwriter users. It transforms the way our platform understands and generates content, ensuring that every piece produced is deeply rooted in the user’s own messaging, proof points, and value proposition.

Try Dreamwriter Now

We can’t wait to see how you use these improvements to create even more effective, high-performing marketing and sales collateral. Stay tuned for more exciting updates coming soon!