AI for developmentMongoDB Blog
AI for development
At MongoDB Research, we’re exploring how to make cutting‑edge AI models smaller, faster, and more flexible. In this blog post, we present LEAF (Lightweight Embedding Alignment Framework), a new knowledge distillation framework for text…
Generative AI is rapidly evolving from experimenting with models to relying on intelligent, autonomous multi-agent workflows that can reason, act, and adapt in real time. Together, Microsoft and MongoDB are defining the future of AI by…
Google has introduced the LiteRT Tensor API, a lightweight C++ API that allows developers to build, customize, and optimize machine learning models directly for on-device execution. According to Google, it combines the flexibility of…
Percona Search for MongoDB 1.70.5-3 is now Generally Available and supported for production use. You can now easily run full-text, vector, and hybrid searches with automatic embedding on production Percona Server for MongoDB deployments.…