Progress Software program at present introduced new AI code assistants and different capabilities constructed into the Q2 2025 launch of Progress and Progress kendo ui.NET and JavaScript UI libraries for contemporary utility growth. This launch introduces AI Coding Assistants for Blazor and React, AI-driven theme era and GenAI-powered reporting insights, the corporate introduced.
The AI Coding Assistants can routinely generate code in Telerik UI for Blazor and KendoReact libraries inside many AI-powered IDEs, which reduces the time spent on handbook edits and shortens growth cycles. Additional, developerws could make pure language prompts into Progress ThemeBuilder to create customized types for Telerik and Kendo UI parts, the corporate wrote in its announcement. The releases additionally embody reporting summaries and insights powered by generative AI in Progress Telerik Reporting, in addition to a GenAI-powered PDF processing library, which the corporate stated can present “prompt doc insights, AI immediate choices within the Editor management and new AI constructing blocks and web page templates to hurry up UI growth.”
Vertesia Launches New Semantic Doc Preparation Service
Vertesiaa low-code platform for creating customized generative AI purposes, at present introduced the launch of Semantic DocPrep servicea cloud-based API service designed to remove hallucinations and velocity growth.
“The 2 issues we hear most from enterprise leaders are constant: 95% accuracy isn’t adequate, and knowledge preparation is a expensive, time-consuming problem,” stated Chris McLaughlin, chief income officer at Vertesia. “Our Semantic DocPrep service was constructed to resolve each – giving builders a set of APIs to automate doc preparation and considerably enhance the accuracy and relevancy of LLM outputs. It removes two main hurdles to constructing dependable, enterprise-grade GenAI purposes.”
The Semantic DocPrep service works by changing complicated paperwork, into semantically tagged XML – with out rewriting or altering the supply. In its announcement, the corporate wrote: “By preserving the unique construction, relationships, and context, Vertesia ensures that enormous language fashions (LLMs) can precisely interpret paperwork with out fabricating or misrepresenting info – dramatically enhancing the accuracy and reliability of mannequin outputs.”
Designed for builders constructing customized GenAI apps and Retrieval-Augmented Era (RAG) techniques, Semantic DocPrep suits into trendy AI pipelines, and was designed to help in creating GenAI purposes and RAG techniques. Based on the corporate, “Builders ship paperwork—PDFs generated from Phrase, PowerPoint, or different codecs—through an API, and obtain structured XML output that’s prepared for chunking, indexing, and mannequin ingestion. No setup or mannequin coaching is required.”
Get began with a free trial or be taught extra by visiting: vertesiahq.com
