Press Space to continue
Press Space to continue
MTS Host @sophiadew talks with @BazeleyMikiko, Staff Developer Advocate at @MongoDB, at Build Fest. Mikiko unveils Voyage Code 4 and explains MongoDB's auto-embedding feature, which handles embedding pipelines automatically so builders can focus on their product instead of infrastructure.
MTS@MTSliveAug 14
MTS Host @sophiadew visits @MongoDB's Build Fest to learn how MongoDB is fueling the builder ecosystem. @jadefurubayashi shares how MongoDB for Startups fuels early-stage founders, @frankzliu unpacks Voyage AI's embedding models and the future of retrieval. Apoorva Joshi dives into vector search and MongoDB's new Atlas MCP server, and @BazeleyMikiko reveals auto-embedding and MongoDB's role as the memory layer for AI agents. 1:42 Jade Furubayashi gives an overview of the MongoDB for Startups program 3:14 How AI has changed the builder ecosystem: the need for speed and scale 8:10 Frank Liu explains how MongoDB's integrated platform simplifies building AI apps 13:11 Hot take: what is overhyped and what is underhyped? 17:38 Apoorva Joshi introduces the MongoDB Atlas managed MCP server 18:35 Why MongoDB is more than just a database 21:33 Mikiko Bazeley: how auto-embedding removes the need for manual embedding pipelines 22:19 MongoDB as the memory and context layer for AI agents
View