Announcement: Launch of Consulting Services and Tool Offerings for Building Retrieval-Augmented Generation (RAG) Systems

Dear All,

At blueqat, we are pleased to announce the official launch of our consulting services and tool offerings for building RAG (Retrieval-Augmented Generation) systems.

What is RAG?
RAG is a powerful technology that combines existing search systems with generative AI to perform information retrieval and natural language generation simultaneously. Specifically, it searches for necessary information from external or internal databases and incorporates it into AI-generated responses, providing more accurate results. This enables significant improvements in operational efficiency and automation levels in customer support.

The Strength of Our RAG Service
blueqat’s RAG service supports high-performance GPUs such as NVIDIA's latest GPUs and AMD MI300X, enabling large-scale generative AI to run in local environments. This allows companies to build secure systems that leverage internal data without exposing it to the outside world. Furthermore, with our unique tools and consulting, we can smoothly guide you through the introduction and customization of RAG. If your company lacks server infrastructure, we also offer server management services or the option to place machines at data centers like Equinix or Kagoya.

Service Offerings

1. Consulting: We provide support from technology selection to system design and implementation for RAG construction. In particular, we optimize search systems and fine-tune generative AI according to the specific needs of your company.

2. Tool Provision: We offer toolsets necessary for RAG implementation and provide implementation support using these tools. Additionally, blueqat's RAG supports various LLM models from different companies, and for those not yet supported, we can handle detailed tuning, including system prompts.

Who Should Consider Our Service?

• Companies looking to utilize internal data and introduce a safe yet powerful AI solution.
• Those wishing to combine search systems with generative AI for more accurate automated responses and suggestions.
• Companies aiming to efficiently operate advanced generative AI using high-performance GPUs within their internal environment.

Future Prospects
Moving forward, Blueqat will continue to strengthen its RAG-based services to further support business efficiency. We also plan to develop industry-specific customizations and expand solutions in collaboration with partner companies, enabling more businesses to take advantage of this cutting-edge technology.

If you are interested, please feel free to contact us.