Avoiding Dirty RAGs: Retrieval-Augmented Generation with Ollama and LangChain
Summary
This article discusses Retrieval-Augmented Generation (RAG) systems, which combine pre-trained Large Language Models (LLMs) with current data sources. The post aims to guide readers on how to avoid 'dirty RAGs' when using Ollama and LangChain.
IFF Assessment
FOE
The article discusses potential security weaknesses in RAG systems, which could be exploited by malicious actors.
Defender Context
As AI integration grows, understanding the security implications of systems like RAG is crucial. Defenders need to be aware of potential vulnerabilities in how LLMs access and process external data, as these could become new attack vectors.