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

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

Abstract: The extraction, summarization, and retrieval of knowledge from video content is a significant challenge due to the multimodal, unstructured, and temporally dispersed nature of information ...

For decades the data landscape was relatively static. Relational databases (hello, Oracle!) were the default and dominated, organizing information into familiar columns and rows. That stability eroded ...

Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...