RAG for Offensive Security Operations
Overview This post will cover using Retreival Augmented Generation (RAG) for Offensive Security purposes. I will show how I developed a RAG service that leverages all of my notes and PDF books to have a specialized resource for Offensive Security related topics. Checkout my project on GitHub where I released my RAG project for open source usage. RAG Retrival Augmented Generation (RAG) is a technique used to improve the contextual output of a large language model (LLM) such as ChatGPT. This is done by leveraging a data source outside of the LLMs known knowledge base (Ex: relational database), allowing for optimiziation in the model responses. Using RAG essentially extends the capabilities of your chosen LLM without the costly need of training your own. ...