The @latentspacepod team and I will be speaking at Mongodb's .local buildfest today 10a-4pmish, come by!
https://t.co/2ECvrv0x4N
We'll be covering:
- tba Agent infra with @BazeleyMikiko!
- the state of embeddings/reranking with @frankzliu@VoyageAI head of Applied ML
- wearable AI with @a_israelov, CTO of Mentra!
- their state of managed MCP with Gaurab Aryal
- Jim Scharf, CTO MongoDB
- AIE top speaker Apoorva Joshi
click on only if you are gonna come... take one of my tix MDBLCL26INSIDER!
Voyage AI models now run natively on Fireworks, the first and only dedicated inference platform @VoyageAI by @MongoDB has partnered with.
Embed, retrieve, rerank, generate: your full retrieval pipeline on one platform, next to the open models you own.
https://t.co/NpZ3FxNtAy
@davidsenra I loved the section on competition, specifically how Magic Johnson focused on finding the player most likely to score, the outcome. Great takeaway for managing high functioning teams.
@FoundersPodcast@mickymalka There are levels to this thing. Being interested in investing, sure. Buying one stock of Berkshire when you are 13 in Venezuela, that’s different.
Voice AI is scaling fast. @ElevenLabs is showing what that looks like.
ElevenLabs has evolved from breakthrough voice models into a platform for interactive, enterprise-ready AI agents.
With MongoDB, the company replaced a more complex architecture with a unified data layer, making it easier to support high-accuracy speech workflows and chat experiences with less operational friction.
See how they unlocked scale with MongoDB: https://t.co/0a4FIVO4j9
@MollySOShea@cj_mongodb@MongoDB is built for AI, bringing flexibility to the operational data layer. Change is the only constant. Your AI agents speak in JSON, store it natively.
@davidu Loved this story, interesting that he let them spend as required, but constrained them via the footprint given the long poles of construction/red tape. People tend to produce their best work on a deadline/limited options.