Vertesia Launches New Semantic Doc Preparation Service
Vertesia, a low-code platform for growing customized generative AI purposes, as we speak introduced the launch of Semantic DocPrep service, a cloud-based API service designed to remove hallucinations and velocity improvement.
“The 2 considerations we hear most from enterprise leaders are constant: 95% accuracy isn’t ok, and information preparation is a expensive, 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 advanced 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 bettering the accuracy and reliability of mannequin outputs.”
Designed for builders constructing customized GenAI apps and Retrieval-Augmented Technology (RAG) programs, Semantic DocPrep suits into trendy AI pipelines, and was designed to help in creating GenAI purposes and RAG programs. Based on the corporate, “Builders ship paperwork—PDFs generated from Phrase, PowerPoint, or different codecs—by way of an API, and obtain structured XML output that’s prepared for chunking, indexing, and mannequin ingestion. No setup or mannequin coaching is required.”
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