CSO Online

Contagious Interview turns VS Code into an attack vector

Threat actors behind the campaign are abusing Microsoft Visual Studio Code’s trusted workflows to execute and persist ...
SMEChannels

Commvault Collaborates with Pinecone, Fortifying Enterprise AI Stacks Against Emerging Threats

Solution provides advanced point-in-time recovery and immutable backups for vector retrieval workloads, enabling ...

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 ...
Creative Bloq on MSN

The 6 best InDesign alternatives

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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.
TMCnet

Weaviate named a Leader and Outperformer by GigaOm and Emerging Leader by Gartner; Market Momentum Accelerates as Nonrelational DBMS Segment Grows 22.7%

Weaviate, the AI database company, today announced it has been recognized as a Leader and Outperformer in the 2025 GigaOm Radar for Vector Databases. This recognition highlights Weaviate’s advanced ...

Why your LLM bill is exploding — and how semantic caching can cut it by 73%

Semantic caching is a practical pattern for LLM cost control that captures redundancy exact-match caching misses. The key ...
IEEE

From Retrieval to Response: Tracing the Impact of Embedding Quality in RAG Systems

Abstract: Recently, Retrieval Augmented Generation (RAG) has emerged as a powerful paradigm for enhancing the capability of Large Language Models (LLMs) by incorporating external, up-to-date, or ...
Microsoft

L-Vector: Neural Label Embedding for Domain Adaptation

We propose a novel neural label embedding (NLE) scheme for the domain adaptation of a deep neural network (DNN) acoustic model with unpaired data samples from source and target domains. With NLE ...
IEEE

A Millimeter-Wave On-Chip Thru-Only De-Embedding Method Leveraging 1D-CNNs and Physics-Based Vector Fitting

Abstract: This article proposes a low-cost de-embedding method for millimeter-wave (mm-wave) on-chip applications. For conventional de-embedding methods, a trade-off between applicable frequencies and ...
InfoQ

Building a RAG Application with Spring Boot, Spring AI, MongoDB Atlas Vector Search, and OpenAI

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
InfoQ

Vector Sync Patterns: Keeping AI Features Fresh When Your Data Changes

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...