Let oracle graph exploit business context in your data by analyzing afghanistan phone number data complex relationships in data . For generative ai-driven development.Ai and generative ai are transforming the way technology works. Vast amounts . Of data can be analyzed and understood in seconds. Human language can be used to . Ask questions about data. Tedious work can be automated. Generative ai can answer questions in . Human language on a wide range of topics, from news to writing code. To do . So, it depends on large language models llms that are trained on available data.
But . How about data the llm has not been trained on, such as your own business . Data? We have . The answer – graph rag. And oracle has made harnessing the power of graph rag . Much easier. Rag and graph ragretrieval augmented generation rag or vector rag can enhance the . User query to an llm the prompt by searching business data and adding relevant information . To the user query. A user query in human language can be converted to a .