Featured Stories
Why the Domo Acquisition Made Sense for Progress
September 22, 2026
The Progress acquisition of Domo has now closed, significantly strengthening Progress’ ability to provide organizations with the context and control they need to turn fragmented knowledge into governed, secure, AI-ready intelligence. Reflecting on the deal, there was an important “first” for Progress.
Progress Agentic RAG Adds a Smart Agent Plus Native Teams and WordPress Support
October 01, 2026
The October release adds three capabilities to Progress Agentic RAG with nothing to install: a Smart Agent that answers questions using both indexed content and live business apps like a CRM, a native Microsoft Teams app, and a WordPress plugin that keeps content current. Built-in citations, quality scoring and audit logs let reviewers trace each step the agent takes. The blog ends by inviting readers to an October 22 walkthrough or a demo.
MarkLogic Server 12.1: Agent Ready, Engineered for Greater Efficiency.
September 25, 2026
Discover the key improvements in Progress MarkLogic Server 12.1 that boost your AI readiness and offer more cost-effective strategies to scale your critical initiatives.
Blog Topics
Latest Stories in Your Inbox
Latest Stories
RAG-as-a-Service on AWS Marketplace
RAG-as-a-Service (Retrieval Augmented Generation) is now available on the AWS Marketplace. At Nuclia, we’re dedicated to revolutionizing the way businesses leverage artificial intelligence (AI) to extract insights from their data. With RAG-as-a-Service, we’re taking a giant leap forward in empowering companies to unlock the full potential of their unstructured data.
RAG-as-a-Service with ChatGPT
Nuclia-managed RAG, combined with ChatGPT at Azure’s infrastructure, takes your search and find experience to new heights by generating AI-powered answers from unstructured data. Leverage ChatGPT’s sophisticated language understanding and generation capabilities to reveal valuable insights without manual effort.
Improve RAG Accuracy: Integrate User Context for Better Answers
The answer provided by a RAG solution like Nuclia will always depend on how precise the question is. The more information you provide, the more accurate the answer will be. Unfortunately, the user might assume that the system has more context than it actually does. For example, imagine your company is running an online avatar creation studio and you provide the following details about the different subscription plans:
Tokenization Trade-Offs: Engineering Perspectives on Memory, Cost and Performance
Deep dive into the computational economics of different AI memory approaches from an implementation standpoint.
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.
Popular Stories
Partner Spotlight Q&A: SilverTech on Personalization with Sitefinity CMS
SilverTech’s VP of Marketing Erin Presseau on how agency expertise and partnership with Progress help institutions create more relevant member and customer experiences.
Real-World AI Use Cases for OpenEdge Applications
Explore how Progress Agentic RAG, the OpenEdge MCP Server and Retrieval Agents Orchestrator were demonstrated to support quality investigations, invoice troubleshooting and delivery planning.
Ask Me Anything: Dynamic Data Masking and FIPS in Action
This webinar recap explores how Dynamic Data Masking and FIPS 140-3 support help OpenEdge teams protect sensitive information, configure security controls and prepare for future upgrades.
Why Progress Software Joined the Pistoia Alliance
For life sciences R&D teams, many of the obstacles to useful data and AI extend beyond one company’s systems. Research information moves among laboratories, partners and disciplines, yet the meaning of a term, the source of a finding or the rules for using a dataset may not move with it. Read about Progress' membership with the Pistoia Alliance and its approach to connected data, semantic context and governance for enterprise AI and analytics.
Other Resources
Latest Stories in Your Inbox
Subscribe to get all the news, info and tutorials you need to build better business apps and sites