AI tools, particularly generative AI, employ advanced machine learning algorithms to analyze data, generate human-like text, and automate tasks. This can significantly enhance efficiency and accuracy across various stages of the patent search process. RAG (retrieval augmented generation) systems combine the power of generative models with retrieval systems, allowing access to external databases and knowledge bases in real-time. This ensures that the information generated is both accurate and current. The integration of generative AI and RAG into existing patent search processes offers unique opportunities for patent professionals.

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