Progress Software program right now introduced new AI code assistants and different capabilities constructed into the Q2 2025 launch of Progress Telerik and Progress Kendo UI, .NET and JavaScript UI libraries for contemporary utility improvement. 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 robotically 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 improvement cycles. Additional, developerws could make pure language prompts into Progress ThemeBuilder to create customized types for Telerik and Kendo UI elements, the corporate wrote in its announcement. The releases additionally embrace 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 “immediate doc insights, AI immediate choices within the Editor management and new AI constructing blocks and web page templates to hurry up UI improvement.”
Vertesia Launches New Semantic Doc Preparation Service
Vertesia, a low-code platform for creating customized generative AI purposes, right now introduced the launch of Semantic DocPrep service, a cloud-based API service designed to remove hallucinations and pace improvement.
“The 2 issues we hear most from enterprise leaders are constant: 95% accuracy isn’t adequate, and information preparation is a pricey, time-consuming problem,” stated Chris McLaughlin, chief income officer at Vertesia. “Our Semantic DocPrep service was constructed to unravel 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 giant language fashions (LLMs) can precisely interpret paperwork with out fabricating or misrepresenting data – dramatically bettering the accuracy and reliability of mannequin outputs.”
Designed for builders constructing customized GenAI apps and Retrieval-Augmented Technology (RAG) programs, Semantic DocPrep matches into trendy AI pipelines, and was designed to help in creating GenAI purposes and RAG programs. In accordance with 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