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.
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Latest Stories in Your Inbox
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What’s New in Progress Automate MFT: August 2026
Automate MFT
Semantic Search vs Keyword Search and Why You Need Both
Keyword search and semantic search each solve different retrieval problems, but neither is perfect on its own.
RAG vs Fine-Tuning: When to Use Which?
RAG changes what a model knows by retrieving from a live knowledge base, while fine-tuning changes how a model behaves by training it on curated examples. In this post, we compare them in terms of accuracy, cost and citations, and show when to reach for each.
What Is Named Entity Recognition (NER) in RAG?
Named Entity Recognition (NER) finds the people, organizations and dates inside unstructured text and stores them as metadata alongside the embeddings. In this post, we explain how that metadata sharpens retrieval and show how Progress Agentic RAG automatically detects entities during ingestion.
What is a Knowledge Graph in Enterprise AI?
Knowledge graphs make relationships explicit and queryable, so enterprise AI can follow business facts instead of guessing from similar text.
What is AI Grounding and Why Does it Prevent Hallucinations?
AI grounding ties answers to verified sources, helping architects reduce hallucinations without locking retrieval into one vendor.
Accelerating REST API Connectivity with AI-Assisted Model Generation
This blog explains how Progress DataDirect’s new AI-powered model generation for the Autonomous REST Connector helps teams turn Swagger or OpenAPI specs into usable REST connectivity models much faster, reducing manual effort and speeding access to REST data through SQL tools.
AI-First Marketing Starts with People: Allan Malcolm on AI, Brand Voice and the Future of Martech
ICYMI: Allan Malcom catches up with 10 Minute Martech on AI-forward marketing, brand voice and why humans still belong in the loop.
What is Context Relevance in RAG?
Context Relevance tells you whether retrieval handed the model the right chunks, so you can catch a bad answer at its source instead of blaming the prompt.
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PAS for OpenEdge 3.0: Independent Application Server Lifecycle for Greater Flexibility and Faster Updates
PAS for OpenEdge 3.0 gives customers a version-independent application server lifecycle, enabling faster security and framework updates without requiring a full OpenEdge platform upgrade.
AI in the Public Sector: From Use Cases to Responsible Adoption
Learn how public-sector teams can select AI use cases, measure public value, manage procurement and scale responsible adoption on governed data.
Flexible Content Modeling: What to Look for in a CMS
Explore what makes CMS content modeling flexible and how Progress Sitefinity CMS supports custom content types, relationships, reuse and headless delivery.
Why the Domo Acquisition Made Sense for Progress
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.
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