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

An episode of [Super Data Science: ML & AI Podcast with Jon Krohn](https://invisiblenetwork.ai/podcast/1163599059), 18 Mar 2025, 1 h 13 min.

Audio: https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3528475721.mp3?updated=1743431237

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 This episode is brought to you by the Dell AI Factory with NVIDIA and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: • (04:10) How Richmond became a Staff Developer Advocate • (07:40) How NoSQL database differs from a relational database • (16:50) The advantages of working with the cloud-based MongoDB Atlas • (32:26) Richmond’s predictions for agentic AI • (40:38) How to create an effective AI strategy

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