Deep Tech Episode: Understanding Search, GenAI, RAG methodology, and vector databases with Nixon Cheaz, Engineering Lead at IBM's Experience Engine.

Making Data Simple

Content provided by IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

5M ago 43:48

MP3•Episode home

Send us a Text Message.

Understanding Search, GenAI, RAG methodology, and vector databases with Nixon Cheaz, Engineering Lead at IBM's Experience Engine.

02:24 Meet Nixon Cheaz
04:32 Search without Google
06:35 Experience Engine
08:30 Elements of Good Search
12:46 Search Data Source
15:36 GenAI Use Cases and Vector DBs
19:40 Foundational Models?
22:07 Impact of Vector DBs
25:38 IBM Public Content DB
28:02 Use Cases
29:58 IBM Technologies
32:54 RAG
40:12 Health is Wealth

LinkedIn: linkedin.com/in/nixon-cheaz
Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

304 episodes

#Tech #Entrepreneur #Business #IBM Big Data & Analytics Hub #Analytics Hub #IBM Big Data #Al Martin #IBM #Big Data #Data Science #Technology #Blockchain