MongoDB’s Sahir Azam: Vector Databases and the Data Structure of AI
Training Data
AI Innovations in Automotive and Pharma
This chapter explores groundbreaking applications of AI and vector databases, focusing on enhancements in car diagnostics and pharmaceutical report drafting. It highlights the shift towards advanced data handling techniques necessary for generative AI integration, emphasizing the complementary roles of vector and graph databases. Additionally, the discussion addresses the evolution of database architectures and the significance of quality data in improving AI application performance.
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