Retrieval Augmented Generation

Retrieval Augmented Generation (RAG) combines the ability of language models to generate text with the capability to retrieve information from external data sources. This approach enhances the AI's responses with more detailed, specific, or up-to-date information.

Prompt example

What are the latest trends in renewable energy technology as of 2024?

Output

As of 2024, the latest trends in renewable energy technology include advances in solar panel efficiency, development of larger capacity wind turbines, and significant growth in energy storage solutions like battery systems. Additionally, there's a rising focus on integrating AI for optimizing grid management and predictive maintenance in renewable energy systems.

In this example, the AI uses its base knowledge and augments it with specific, recent information retrieved from external data sources. This results in an answer that not only reflects the AI's understanding but is also enriched with up-to-date facts and data, demonstrating the power of RAG in providing comprehensive and current answers.