RIP RAG. RIG is Here [Video]

A few days ago, Google released its new Gemma model – DataGemma. While the world is experimenting with RAG to reduce hallucinations and increase accuracy, Google decided to use RIG (retrieval interleaved generation), a technique that integrates LLMs with Data Commons, an open-source database of public data.

Explaining what exactly RIG is, Andrey Gavrilenko, head of data science at PandaDoc, mentioned how Google has revealed new models to reduce hallucination and improve accuracy. “It integrates both RIG and RAG, but adds a new layer: pulling data from trusted sources like Data Commons,” he added, further suggesting how these models are using the database to pull accurate information. 

Typically, when a user asks a question, the AI model begins answering based on its existing knowledge.

However, with RIG, if the AI model encounters a need for more current or specific data, it pauses to search for this information from reliable external sources like databases or websites. The model then seamlessly incorporates this newly acquired …