MADRID, Dec 10 - Cloudera has launched Retrieval-Augmented Generation (RAG) Studio, enabling non-experts to design, test, and deploy AI applications without coding. This solution aims to accelerate return on investment.
Generative AI relies on large language models (LLMs) trained on extensive datasets. However, outdated training data can lead to inaccurate responses. RAG Studio enhances LLM output with specific, up-to-date information without altering the model itself, providing more accurate responses.
The tool retrieves updated data from external sources, ensuring precision and relevance, which is crucial in regulated sectors like finance, healthcare, and law. It also minimizes the need for constant model adjustments by utilizing external knowledge bases, reducing infrastructure costs and improving scalability.
RAG Studio links generated results to specific sources, offering transparency about information origins, thus increasing user trust. This feature makes it suitable for business applications where responsible decision-making is essential.