Vulnerable Agent Lab: attacking a tool-using LLM agent
Building a deliberately vulnerable LangChain agent with file and email tools, then attacking it with indirect prompt injection.
Building a deliberately vulnerable LangChain agent with file and email tools, then attacking it with indirect prompt injection.
Reviewing the two phases of my RAG pipeline — indexing and query — and drawing out the full data flow.
Testing whether a RAG pipeline can be hijacked by an instruction hidden inside a retrieved document — and why a task-specific prompt template may accidentally provide some resistance.