871: NoSQL Is Ideal for AI Applications, with MongoDB’s Richmond Alake
Mar 18, 2025•1 hr 13 min
Listen to this episode in Metacast mobile app
Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more
Episode description
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
For the best experience, listen in Metacast app for iOS or Android