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#rag

1 message1 participant0 message aujourd’hui

Hello World! #introduction

Work in cybersec for 25+ years. Big OSS proponent.

Latest projects:

VectorSmuggle is acomprehensive proof-of-concept demonstrating vector-based data exfiltration techniques in AI/ML environments. This project illustrates potential risks in RAG systems and provides tools and concepts for defensive analysis.
github.com/jaschadub/VectorSmu

SchemaPin protocol for cryptographically signing and verifying AI agent tool schemas to prevent supply-chain attacks (aka MCP Rug Pulls).
github.com/ThirdKeyAI/SchemaPin

GitHubGitHub - jaschadub/VectorSmuggle: Testing platform for covert data exfiltration techniques where sensitive documents are embedded into vector representations and tunneled out under the guise of legitimate RAG operations — bypassing traditional security controls and evading detection through semantic obfuscation.Testing platform for covert data exfiltration techniques where sensitive documents are embedded into vector representations and tunneled out under the guise of legitimate RAG operations — bypassing...

Wir freuen uns ein weiteres der vier geförderten Projekte der zweiten Runde unseres #Forschungsstudienprogramms am Leibniz-Institut für Europäische Geschichte bekanntzugeben!

🏆 Rainer Simon (@aboutgeo) und Michela Vignoli für ihr Projekt „Digital Camerarius RAG: Multimodal Information Retrieval Prototype for CH and DH“.
Digital Camerarius: furman-editions-in-progress.gi

Herzlichen Glückwunsch! Wir freuen uns auf die innovativen Erkenntnisse, die dieses Projekt hervorbringen wird 🎉

Spent some time and had fun building a #Django documentation #RAG chatbot today. It answers questions by retrieving context from Django docs using embeddings. Currently using OpenAI/pgvector just to get some foundational knowledge, but I'd like to switch to entirely local and open-source embedding models (like sentence-transformers) and sqlite-vss for the vector search.