The Recipe For RAG: How Cloud Services Enable Generative AI Outcomes Across Industries
IBM News, Wednesday, June 19th, 2024
According to research from IBM, about 42 percent of enterprises surveyed have AI in use in their businesses. Of all the use cases, many of us are now extremely familiar with natural language processing AI chatbots that can answer our questions and assist with tasks such as composing emails or essays.
Yet even with widespread adoption of these chatbots, enterprises are still occasionally experiencing some challenges. For example, these chatbots can produce inconsistent results as they're pulling from large data stores that might not be relevant to the query at hand.
Thankfully, retrieval-augmented generation (RAG) has emerged as a promising solution to ground large language models (LLMs) on the most accurate, up-to-date information. As an AI framework, RAG works to improve the quality of LLM-generated responses by grounding the model on sources of knowledge to supplement the LLM's internal representation of information. IBM unveiled its new AI and data platform, watsonx, which offers RAG, back in May 2023.