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Explore how vector databases are revolutionizing Retrieval-Augmented Generation (RAG) systems by enabling semantic search, scalability, and real-time data retrieval. We delve into their architecture, applications, and the challenges they address, making them an indispensable tool for modern AI workflows.
By Praveen RaviExplore how vector databases are revolutionizing Retrieval-Augmented Generation (RAG) systems by enabling semantic search, scalability, and real-time data retrieval. We delve into their architecture, applications, and the challenges they address, making them an indispensable tool for modern AI workflows.