From RAGs to Riches: Using LLMs and RAGs to Enhance Your Ops

This blog post explains Retrieval-Augmented Generation (RAG) and demonstrates building RAG applications for research and document-centric workflows using LangChain, Chroma, Ollama, and related tooling; it covers data collection, chunking, embeddings, querying, prompt templates, and includes code examples and use cases (including infosec research), but does not describe a cyber security incident.