Retrieval Augmented Generation (RAG)

A technique that enhances LLM responses by retrieving relevant current information from external sources.

DEFINITION

What is Retrieval Augmented Generation (RAG)?

Retrieval Augmented Generation (RAG) is a technique that combines LLM capabilities with real-time information retrieval. Instead of relying solely on training data, RAG systems search external sources (like the web) to find relevant, current information, then use this to generate more accurate, up-to-date responses. Perplexity is a prominent example of RAG in action. RAG is increasingly important for AI visibility because it allows AI assistants to access information published after their knowledge cutoff.

IN PRACTICE

We optimize your digital presence for both LLM training data and RAG retrieval systems, ensuring comprehensive AI visibility.

WHY IT MATTERS

RAG systems can surface current information about your brand, overcoming training data limitations. Optimizing for RAG means ensuring your content is accessible and well-structured for retrieval systems.

EXAMPLES

Perplexity searching the web to answer current questions

ChatGPT's browse feature retrieving recent information

Claude using provided documents to enhance responses

FREQUENTLY ASKED QUESTIONS

Which AI assistants use RAG?

Perplexity is built on RAG. ChatGPT and Claude have optional browsing capabilities. Most major assistants are adding RAG features.

How do I optimize for RAG?

Ensure your website is crawlable, content is well-structured, and information is clearly presented. RAG systems need to quickly find and extract relevant information.

MORE AI FUNDAMENTALS TERMS

Large Language Model (LLM)

An AI system trained on massive text datasets to understand and generate human-like text.

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AI Assistant

A software application powered by AI that helps users complete tasks through natural conversation.

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Natural Language Processing (NLP)

The branch of AI focused on enabling computers to understand, interpret, and generate human language.

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Training Data

The large dataset of text used to teach an LLM language patterns and knowledge.