Why MongoDB thinks better retrieval — not bigger models — is the key to trustworthy enterprise AI

As agentic and RAG systems move into production, retrieval quality is emerging as a quiet failure point — one that can ...

Data retrieval and embeddings enhancements from MongoDB set the stage for a year of specialized AI

Data retrieval and embeddings enhancements from MongoDB set the stage for a year of specialized AI - SiliconANGLE ...
Tech Xplore on MSN

'Rosetta stone' for database inputs reveals serious security issue

The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by ...
InfoWorld

MongoDB releases mongot source code to boost RAG and AI workloads

By releasing the code behind its search and vector engine under the SSPL, MongoDB is giving self‑managed users new visibility ...

MongoDB combines database and embedding models for simplified AI development

MongoDB said additional partners and offerings are expected to be added to the startup program over time.
Opinion
Learn With Jay on MSNOpinion

Word2Vec from scratch: Training word embeddings explained part 1

In this video, we will learn about training word embeddings. To train word embeddings, we need to solve a fake problem. This problem is something that we do not care about. What we care about are the ...

Create Coherent AI Video Scenes at Home with LTX-2 : Generate Video & Two Channel Audio Together

Run LTX-2 locally to craft 20-second video clips with resolution, frame rate, and camera motion controls, speeding up edits ...

How AI Models Generate Text : Explained In Simple Terms from Prompt to Reply

English look at AI and the way its text generation works. Covering word generation and tokenization through probability scores, to help ...