Artificial Intelligence (AI) agents based on Retrieval-Augmented Generation (RAG) technology are rapidly proliferating. RAG ...

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — using step-by-step reasoning.

Rust enters the top 10 for the first time, Python keeps the lead, C moves back above C++, and SQL edges out R in July’s ...

The data layer underneath an agentic system must handle variable schemas, vector embeddings, real-time retrieval, and ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

Every morning, millions of Americans engage in a quiet, collective ritual. We wake up, often pull a smartphone from our ...

Telegram Serverless lets developers deploy bot backends on Telegram's own infrastructure with a single tgcloud command, but ...

Enterprise data masking tools help organizations protect sensitive data while still making it usable for testing, analytics, ...

Somewhere in your organization, the answer to next quarter's hardest question already exists. It sits in a contract clause nobody indexed, a support ticket thread nobody summarized, a call transcript ...

Learn what makes industry-standard XML formats different and discover the best open-source Linux and enterprise tools used to ...

Gwen Shapira shares how teams are scaling AI features using PostgreSQL for mission-critical apps. She explains how to ...

Google and industry partners announced Agentic Resource Discovery (ARD) Specification, an open standard for publishing, ...