Most RAG systems don’t understand sophisticated documents — they shred them

Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 ...
eWeekOpinion

Sundance Documentary Claims to Expose AI’s Dark Truth

Ghost in the Machine' by director Valerie Veatch is a "searing takedown of techno-fascism" that targets Elon Musk and Silicon ...

Denison Mines: De-Risking And The New Phoenix ISR Milestone

As mentioned before, Denison Mines has approximately $368.04 million worth of net non-uranium assets, along with $155.80 ...
IEEE

Automated Door Quantity Extraction from IFC Models Using Python: A Standards-Based BIM Workflow

Abstract: The increasing use of Building Information Modeling (BIM) in design and construction practices has emphasized the need for structured and replicable data extraction methods. This study ...
IEEE

Alpine Wetlands Information Extraction Using Optimized Multifeatures and Random Forest Algorithm

Abstract: Alpine wetlands are a special ecosystem that is extremely sensitive to global climate change. The unique geographical location and climatic conditions of the Yellow-River-Source National ...
GitHub

A compact Python project for building retrieval-augmented generation (RAG) flows and producing agentic reports. It includes utilities for data extraction, transformation ...

Below are small examples and expected outputs to help you get started. Replace the commands with python if your environment maps python to Python 3. Run the app and check the start-up logs ...