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.
SiliconANGLE

RapidFire AI applies parallelization to speeding RAG workflows

Startup RapidFire AI Inc. today released an open-source software package aimed at simplifying the development of the pipelines that are increasingly central to enterprise artificial intelligence ...
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.
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 ...

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.
Forbes

Kioxia AiSAQ Improves AI Inference With Lower DRAM Costs

In April this year, Kioxia’s Rory Bolt gave me a briefing on Kioxia’s AiSAQ, an open-source project intended to promote the expanded use of SSDs in RAG AI solutions. The focus on AI is moving from ...
The Business & Financial Times on MSN

AI’s engine room: How retrieval-augmented generation (RAG) is transforming the future of trustworthy intelligence

By Kwami Ahiabenu, PhDAI’s power is premised on cortical building blocks. Retrieval-Augmented Generation (RAG) is one of such building blocks enabling AI to produce trustworthy intelligence under a ...