GitHub

Agentic ontology-assisted framework for semantic triple extraction

OntoCast is a framework for extracting semantic triples (creating a Knowledge Graph) from documents using an agentic, ontology-driven approach. It combines ontology management, natural language ...
VentureBeat

Databricks: 'PDF parsing for agentic AI is still unsolved' — new tool replaces multi-service pipelines with single function

There is a lot of enterprise data trapped in PDF documents. To be sure, gen AI tools have been able to ingest and analyze PDFs, but accuracy, time and cost have been less than ideal. New technology ...
IEEE

Contextual Compression of Unstructured Resumes using VectorStore-Based Retrieval Augmented Generation

Abstract: Extracting structured data from unstructured resumes and CVs is an intricate & extremely difficult task and it is also prone to mistakes especially during the Application Tracking System ...
Reno Gazette-Journal

GenRocket Expands Design-Driven Synthetic Data Platform to Include Unstructured Data Generation

Ojai, CA October 30, 2025 –(PR.com)– GenRocket, the market leader in Design-Driven Synthetic Data Generation, today announced the launch of its Unstructured Data Accelerator (UDA) — an innovation that ...