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Lost? Links to ATG websites below:

📚 Documentation (Home) • 🌐 Website • 🚀 Web App • ⚙️ Admin Console

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At Ask this Guy, we understand how important it is for you to know what happens to your data when you interact with our platform. This page explains, in clear and simple terms, how your data is handled, organized, and used to provide accurate and reliable answers—always with privacy and security in mind. We use advanced Retrieval-Augmented Generation (RAG) technology to ensure that your questions are answered using both the latest information and your organization's own knowledge, without compromising data integrity.

To make these concepts easy to grasp, imagine our system as a highly skilled librarian working in a modern, well-organized library.

What is RAG?

Imagine your AI assistant as a very smart librarian. Traditionally, this librarian only knows what's in their head (the LLM's training data). With RAG, the librarian can also search through the latest books, documents, and web pages in the library and online to find the best answer for you.

Technically:

RAG lets an LLM "look up" relevant information from external sources—like documents, databases, or the web—at the moment you ask a question. The AI combines its own knowledge with what it finds, giving you a more reliable and current answer.

Why use RAG?

• Up-to-date answers: RAG fetches the latest information, overcoming the LLM's knowledge cutoff.
• Domain expertise: It connects the AI to your internal company knowledge for tailored answers.
• Fact-checking: RAG can cite its sources, making it easier to verify information and trust the results.

How does RAG work?

Let's keep using the librarian metaphor:

The LLM is like a librarian who knows a lot from years of reading and study (its training data). With RAG, the librarian can also walk through the library stacks and even search online databases to find the latest and most relevant information for your question.

The RAG process: