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 ...

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.

Unearthing experimental materials data buried in scientific papers using LLMs

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

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 ...
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 ...
dbta

Data Modeling

As Snowflake footprints expand, organizations are under growing pressure to prove value, control spend, and deliver consistent performance. But FinOps dashboards often miss the real problem: not just ...
dbta

Big Data

Delinea, a provider of solutions for securing human and machine identities through centralized authorization, is acquiring StrongDM, a universal access management company purpose-built for modern ...
Nature

Reporting standards and availability of data, materials, code and protocols

An inherent principle of publication is that others should be able to replicate and build upon the authors' published claims. A condition of publication in a Nature Portfolio journal is that authors ...
World Bank

Quarterly External Debt Statistics (QEDS)

The QEDS SDDS database, jointly developed by the World Bank and the International Monetary Fund, are in-line with the classifications and definitions of the 2013 External Debt Statistics: Guide for ...