Building a retrieval-augmented generation (RAG) pipeline for threat analysis is the focus of this lesson, which is ideal for cybersecurity professionals and data engineers. Participants will learn how to utilize LangFlow to create a pipeline that processes threat reports, extracts relevant information, and integrates with language models for querying. Key techniques include document parsing, vector database creation, and embedding models, enabling users to efficiently analyze and retrieve insights from large datasets.