Featured Stories
Progress Software to Acquire Domo to Strengthen Its AI Data Platform
July 23, 2026
Progress intends to acquire Domo’s AI and data platform business, bringing together complementary strengths to help organizations get more value from their data and AI investments. By adding Domo’s cloud-native AI data readiness platform, Progress will help customers better connect, govern and act on enterprise data across systems, applications and business processes. Together, Progress and Domo aim to give organizations the trusted foundation they need to use AI more confidently, make better decisions and accelerate innovation.
Why the Way You Power AI and What You Feed It Determine the Outcomes You Get
April 20, 2026
As organizations have begun to adopt AI across search, copilots, assistants and internal tools, expectations have run high. With access to years and shared drives full of documents, files, emails and knowledge repositories, it felt logical to assume that AI would instantly deliver smarter answers and better decisions right away.
Static Pages vs. Content Modules in Progress Sitefinity CMS: Scaling Content with Structure and GenAI
April 14, 2026
As content volume grows, the way it is structured begins to directly affect speed, cost and operational efficiency. This is where content modules move from being a technical option to becoming a strategic advantage.
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Optimize RAG Results: Best Embeddings, LLMs, Prompts and Retrievals
One of the most powerful aspects of Nuclia is its ability to find the perfect combination of embeddings, LLMs, prompts, and retrieval strategies tailored to any specific use case. Whether you are dealing with highly specialized industry data or general-purpose information, Nuclia’s flexible framework allows you to configure and optimize every aspect of your RAG process. This means that no matter your specific requirements, you can rely on Nuclia to deliver the most effective and efficient results.
File Transfer Method Personality Test
Take this personality quiz to discover your file transfer mascot. Are you a Security Sphinx or a Chaos Gremlin? Find out which method matches your style and why MOVEit software might be your perfect match.
Using Nuclia’s RAG Evaluation Tools
Nuclia’s RAG evaluation tools, REMi and nuclia-eval, can be used to identify and resolve issues in a failing RAG pipeline. The tools are based on the RAG Triad framework, which evaluates the query, contexts, and answer in relation to each other using these metrics:
Monitoring the Quality of Your RAG Stack with REMi
Using RAG is about getting the most from LLMs ability to phrase proper answers and at the same time to make sure it uses the most relevant and up-to-date data according to the user’s question. The objective is to deliver high-quality answers to users.
The “Whys” and “Hows” of Nuclia and NucliaDB
Nuclia has been building something for the last two years. Our vision is to deliver an engine that allows engineers and builders to search on any domain specific set of data, focusing on unstructured data like video, text, PDFs, links, conversations, layouts and many other sources.
Why Evaluation Models Are Key for Successful Business RAG Implementation
One of the groundbreaking advancements of late in AI is Retrieval-Augmented Generation (RAG), which combines large language models (LLMs) with external knowledge bases to produce more accurate and contextually relevant responses. However, the implementation of RAG systems brings forth new challenges that necessitate robust evaluation models. This article delves into the importance of having an evaluation model when implementing RAG in a business context.
UX and UI: The Catalyst for Software Modernization
This blog highlights how thoughtful UX and UI design are essential drivers in the ongoing journey of software modernization, enabling organizations to improve usability, productivity, and business outcomes through iterative assessment, collaborative development, and a focus on user needs.
Examples of Web Personalization That Improve Engagement
A personalized web experience doesn’t mean using everything you’ve gathered about someone to greet them by name, summarize their engagement with your brand and so on. Sometimes the subtlest variations in the experience can make a visitor or user feel more comfortable and satisfied.
Exploring AI Agents in RAG: Types and Uses
An AI agent refers to a software entity that performs automated tasks on behalf of humans or other systems. These agents are programmed to make decisions and take actions based on their environment and predefined goals. In the context of AI and machine learning, agents often leverage algorithms to analyze data, learn from outcomes and improve their performance over time, often more efficiently than a human could.
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