AI Concepts Software Engineers Need in 2026

Ten AI concepts to know in 2026, including LLM tokens, context windows, agents, RAG, and MCP, for building reliable AI apps.
Forbes

Why RAG Alone Isn't Enough To Achieve Real ROI In The Agentic AI Era

If you looked under the hood of generative AI (GenAI) technologies over the last year or so, you probably came across the concept of retrieval augmented generation (RAG). RAG has gained a lot of buzz, ...
Automation World

Moving AI From Chatbots to Action in Manufacturing

Learn how RAG grounds AI in plant knowledge while MCP enables safe execution to transform industrial AI recommendations into ...
Security Boulevard

Building a RAG system on Databricks with your unstructured data using Tonic Textual

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.

Databricks built a RAG agent it says can handle every kind of enterprise search

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
Geeky Gadgets

Google File Search in Gemini 3.0 API Makes RAG Simple : Build Smarter Apps Today

What if building advanced AI-powered search systems didn’t require a team of engineers or months of development? Imagine uploading a few files, tweaking minimal settings, and instantly allowing your ...