Progress Software rolls out the general availability of MarkLogic Server 12

Progress Software, a provider of AI-powered digital experience and infrastructure software, is announcing general availability of Progress MarkLogic Server 12—introducing advanced semantic search and graph Retrieval-Augmented Generation (RAG) capabilities.

According to the company, these updates empower organizations to ground generative AI in their own trusted data—delivering more accurate, secure, and context-aware results.  

MarkLogic Server 12 enables scalable, rapid, cost-effective retrieval, on-premises or in the cloud. Key features include native vector search, Virtual Views for ad-hoc analysis, BM25 relevance ranking, and advanced semantic algorithms, all designed to maximize retrieval accuracy and efficiency for enterprise generative AI and analytics, the company said.

The new capabilities are central to Progress’ semantic search and graph RAG approach, with customers participating in Proof-of-Concept reporting an increase in LLM response accuracy and a significant acceleration in information discovery time for subject matter experts (SMEs). 

Progress is democratizing the use of advanced semantic search and RAG capabilities for organizations across industries. Additional use cases for organizations adopting Progress’ semantic RAG approach include: 

• A financial services firm improved LLM response accuracy from 70% to 95%, cutting SME research time from hours to minutes. 
• A global pharmaceutical company accelerated policy and architecture document discovery to seconds, increasing correct answers by 73%. 
• A leading agribusiness raised correct answer rates from 50% to 90% with an AI-driven R&D hub. 
• A leading food technology provider achieved 99% accuracy and completeness from their LLM implementation. 

“As AI matures, the real differentiator for enterprises will be how effectively they ground these models in trusted, context-rich data,” said John Ainsworth, EVP and general manager, application and data platform, Progress Software. “Our RAG-based technology is at the forefront of this shift—bridging the gap between unstructured content and actionable intelligence. We’re helping customers move beyond experimentation to build AI systems that are explainable, secure and deeply aligned with business goals.” 

Progress is showcasing its semantic search and graph RAG approach at Ai4, North America’s largest artificial intelligence industry conference, right now.

For more information about this news, visit www.progress.com.