Professional-Services

Why build RAG-style applications on Cloudflare? (Workers, Vectorize, and Workers AI)

Geno Valente
#CloudFlare#vectorize#workers#worker ai

A key part of LiquidMetal’s culture is to share our expertise with the community. We’ve seen firsthand how vast stores of knowledge can become underutilized, stored away, and ultimately become lost potential. To avoid this, everyone has eyes on Retrieval Augmented Generation (RAG) as the answer for harnessing each opportunity of presented data.

RAG can be used in multiple ways including internal and external chatbots

Your internal documentation, customer meeting transcriptions, Notion pages, and other confidential documents leveraged by a RAG implementation can accelerate development by federating proprietary information to only the right people, and even accelerate internal education as knowledge becomes more easily accessible.

On the external side, Klarna exemplifies company growth with AI integration. Their new AI assistant now handles two-thirds of their customer service chats and is projected to increase Klarna’s profits by $40 million in 2024. Recently, Klarna said that AI has helped them save $10 million annually in sales and marketing costs. Much of this business success is likely RAG-style implementations geared to service Klarna’s specific customers.

That’s the power of RAG. It’s similar to onboarding a team member, who has read everything, remembers every detail, and is always ready to help their fellow coworkers or customers.

But RAG is only half the equation. To truly unlock its potential, you need a platform that can handle the scale and complexity of enterprise data. That’s where Cloudflare comes in. Their global network, lightning-fast Workers, and numerous AI integrations make them a leading foundation for building robust scalable RAG systems

Why Cloudflare could be the Ideal Platform for RAG

Cloudflare’s global network, edge computing capabilities, and AI tools create a perfect environment for RAG applications:

The team at Cloudflare have a reference RAG tutorial to show you the basics. You can check it out here.

LiquidMetal AI: Your AI Experts on Cloudflare

At LiquidMetal AI, we have the expertise to help you design, build, deploy, and operate any AI requirement including customization of the basic RAG solution mentioned above. Imagine AI tailored to your specific enterprise needs combined with the power of Cloudflare to ensure your custom RAG system is fast, reliable, secure, and scalable.

In the coming days, LiquidMetal is going to take this basic RAG application to the next level. Our commitment is to break it down and write in-depth tech blogs and to host live coding sessions on LinkedIn to show how to build and deploy a catered AI system. Stay tuned by following our company page on LinkedIn.

If you’re ready to fully capitalize on your AI strategy, contact LiquidMetal AI today to learn more about RAG implementations, building AI applications Cloudflare, and how we can help you succeed today.

Let’s forge the future of AI, together.

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