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.
Geeky Gadgets

Supercharge RAG Projects with DeepSeek R1 AI Reasoning Model

Have you ever found yourself frustrated by incomplete or irrelevant answers when searching for information? It’s a common struggle, especially when dealing with vast amounts of data. Whether you’re ...
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, ...
VentureBeat

DeepSeek’s R1 and OpenAI’s Deep Research just redefined AI — RAG, distillation, and custom models will never be the same

Things are moving quickly in AI — and if you're not keeping up, you're falling behind. Two recent developments are reshaping the landscape for developers and enterprises alike: DeepSeek's R1 model ...
VentureBeat

Voyage AI's multilingual embeddings boost Snowflake's Cortex AI for improved enterprise RAG

In the world of Retrieval Augmented Generation (RAG) for enterprise AI, embedding models are critical. It is the embedding model that essentially translates different types of content into vectors, ...
TechRepublic

Retrieval Augmented Generation: What It Is and Why It Matters for Enterprise AI

Retrieval Augmented Generation: What It Is and Why It Matters for Enterprise AI Your email has been sent DataStax's CTO discusses how Retrieval Augmented Generation (RAG) enhances AI reliability, ...
CSO Online

Why 2025’s agentic AI boom is a CISO’s worst nightmare

AI agents may work smarter than chatbots, but with tool access and memory, they can also leak data, loop endlessly or act ...
Geeky Gadgets

RAG vs CAG : Solving Knowledge Gaps for Smarter AI Workflows

Imagine asking a question to your favorite AI assistant, only to receive an outdated or incomplete answer. Frustrating, right? Large Language Models (LLMs) are undeniably powerful, but they have a ...
ZDNet

Google's DataGemma is the first large-scale Gen AI with RAG - why it matters

The increasingly popular generative artificial intelligence technique known as retrieval-augmented generation -- or RAG, for short -- has been a pet project of enterprises, but now it's coming to the ...
Computerworld

Agentic RAG AI — more marketing hype than tech advance

Agentic RAG is getting a lot of attention these days as a practical way to reduce — or, depending on the audacity of the vendor, eliminate — hallucinations from generative AI (genAI) tools. Sadly, it ...
SiliconANGLE

Contextual AI launches RAG 2.0 platform to aid in the development of domain-specific AI agents

Contextual AI Inc., one of the leading players in retrieval-augmented generation systems that can advance the capabilities of large language models, today announced the general availability of its ...
CMS Wire

Coveo Launches RAG-as-a-Service for AWS AI Agents

Developer impact. Developers gain a managed foundation for building compliant, contextually relevant GenAI applications. Coveo launched RAG-as-a-Service for AWS AI agents on Dec. 1, providing a ...