Agentic AI, AI success strategies, and why flexibility will be so important to keep up with the AI market: Jon Krohn talks to Richmond Alake about the NoSQL database MongoDB, including why it’s a great addition to your toolkit for developing (agentic) AI applications, with a look under the hood at its native vector database. Richmond also talks about why he expects multi-agent AI architectures to go mainstream in 2025. 



Additional materials: www.superdatascience.com/871 [https://www.superdatascience.com/871]



This episode is brought to you by the Dell AI Factory with NVIDIA [http://www.dell.com/superdatascience?utm_source=SuperDataScience&utm_medium=podcast&utm_campaign=DAIFWN] and by ODSC [https://odsc.com/boston/], the Open Data Science Conference [https://odsc.com/boston/]. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

871: NoSQL Is Ideal for AI Applications, with MongoDB’s Richmond Alake

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