RAG systems Archive - Hey-GPT.de - Daily GenAI News Digest

This talk explores the hidden risks in apps leveraging modern AI systems, especially those using large language models (LLMs) and retrieval-augmented generation (RAG) workflows. It demonstrates how sensitive data, such as personally identifiable information (PII) and social security numbers, can be extracted through real-world attacks. The presentation highlights that current PII scanning tools fail to recognize the rich data within these systems, posing a significant privacy disaster for AI ecosystems.

20. November 2025

GenAI Updates

Exploiting Shadow Data from AI Models – Patrick Walsh (DEF CON 33)

Exploiting Shadow Data from AI Models (Patrick Walsh, DEF CON 33) I watched Patrick Walsh’s…

Most enterprise data is visual (charts, diagrams, infographics), but current RAG systems miss this valuable information. Vision-RAG unlocks this untapped potential, dramatically expanding AI capabilities. Mastering this emerging field positions you for high-value opportunities in enterprises seeking comprehensive multimodal data solutions.

25. Oktober 2025

GenAI Updates

From Text-RAG to Vision-RAG with Cohere

From Text-RAG to Vision-RAG with Cohere: Why Visual Data Finally Gets Its Turn If you’ve…

A curated list of 100+ libraries and frameworks for AI engineers building with LLMs - Sumanth077/ai-engineering-toolkit

25. Oktober 2025

GenAI Updates

GitHub – Sumanth077/ai-engineering-toolkit: A curated list of 100+ libraries and frameworks for AI engineers building with LLMs

Building with LLMs and not sure where to start? If you’ve ever felt overwhelmed by…