These third-party projects greatly expand the ways agents and LLMs can draw on facts, documents, and conversations to deliver ...

Sysdig says JADEPUFFER used CVE-2025-3248 in Langflow to automate intrusion, credential theft, encryption, and data wipe.

Anthropic's Claude family of AI models is now generally available in Microsoft Foundry on Azure, giving enterprise developers another frontier model they can deploy, manage and govern through ...

Naive RAG └── Chunk → Embed → Store → Retrieve → Generate Advanced RAG └── Query rewriting + Hybrid search + Re-ranking Modular RAG └── Plug-and-play pipeline components Agentic RAG └── LLM decides ...

We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Caroline Mullen Caroline Mullen is a writer focused on cleaning and organizing ...

Abstract: Natural language interfaces to databases promise to democratize data access, yet current Text-to-SQL systems fail to address a fundamental challenge: user questions are often ambiguous.

Azure SQL Managed Instance gains SQL Server 2025 update policy control. GA policy balances new engine features with operational stability governance. Enhanced update management supports enterprise ...

Chunk-based RAG is broken for structured documents. The fix is simpler than you think - and faster than the original. A few weeks ago, I came across an article by Agent Native about vectorless RAG.

Mayank loves to write tech articles & books. Retrieval-Augmented Generation (RAG) has emerged as a foundational architecture for grounding large language models (LLMs) using external knowledge.

Enterprises need data, and data needs to be stored, with a flexible, portable environment that scales from developers’ laptops to global clouds. That storage also needs to be able to run on any OS and ...