Data Conversations Made Easy: Build-my-RAG

"AI models become very strong if they are connected to data…"
(Artur Mensch, founder and CEO of Mistral, March 2024 at Sequoia Capital’s AI Ascent)

The way we interact with information is undergoing a significant transformation, and Large Language Models (LLMs) are at the forefront of this revolution. From internal knowledge bases to external, customer-facing documentation and support, LLMs are changing the game. One technique that's gaining traction is Retrieval Augmented Generation (RAG), which is taking LLMs to the next level.

The Power of RAG

RAG is a powerful technique that involves enriching the LLM prompt with additional context specific to your data. This allows the model to provide better answers and more accurate results. By providing the model with relevant context, you can unlock the full potential of LLMs without having to deploy and fine-tune your own models.

So, what makes RAG so effective?

• Improved accuracy: By providing the model with relevant context, you can significantly improve the accuracy of the results.
• Enhanced relevance: RAG ensures that the model provides answers that are highly relevant to your specific use case.
• No need for fine-tuning: With RAG, you can achieve excellent results using public models without having to deploy and fine-tune your own LLMs.

Get Ahead of the Curve

As the technology continues to evolve, it's essential to stay ahead of the curve. By embracing RAG and LLMs, you can unlock new possibilities and stay at the forefront of innovation.

How do I build my RAG?

The current AI landscape is likely the fastest evolving field of science in human history and only the most dedicated professionals are able to keep up with the development. I am writing this on April 24 2014. Yesterday Microsoft released new 'micro LLM' with previously unimaginable powers for such a small model. This morning Apple released arguably a better one. How to navigate this intense landscape of information? There are hundreds of tutorials and dozens of tools to build a RAG, each catering to a specific users needs.

BmyRAG

If you are tired of feeling overwhelmed by the complexity and you don't know where to start, look no further! We're excited to introduce Build-my-RAG (BmyRAG), a tool designed to get you started in building a RAG application. With BmyRAG, you'll be able to navigate the complex landscape of AI development and find the tools and resources perfectly suited to your needs and your equipment.

Simplifying the Decision-Making Process

We've done the hard work for you, sifting through hundreds of tools and tutorials so you can focus on achieving your goals. We've distilled the decision-making process down to six key variables, making it easy for you to identify the most suitable tools and tutorials for your needs. By submitting your preferences, BmyRAG will provide you with a personalized roadmap to help you get started with building your RAG application.

Empowering Individuals and Organisations

BmyRAG was originally designed with the Cultural Heritage sector in mind, but its applications are far-reaching. Whether you're an individual looking to upskill or an organisation seeking to leverage the power of AI with your data, BmyRAG is the perfect solution to help you get started.

What You Can Achieve with BmyRAG

• Get guidance on selecting the right tools and tutorials for your RAG application
• Identify the most suitable resources for your specific needs and goals
• Save time and effort by avoiding the complexity of searching through hundreds of tools and tutorials
• Upskill and enhance your digital capabilities, regardless of your background or expertise

Get Started Today

Ready to unlock the full potential of your data? Try BmyRAG today and discover the power of AI conversations.