Speaker
Walter Riviera
(walterbot.ai)
Description
This hands-on workshop introduces students to building a basic Retrieval-Augmented Generation (RAG) system. Participants will learn how to index a document corpus using embeddings, implement a vector search retriever, and connect it to a language model for context-aware responses. The session covers key components like vector store, prompt design, and system evaluation. By the end, students will have built a simple, working RAG pipeline. Basic Python knowledge is recommended.
Requirements:Each attendee should bring their laptop along and have Jupyter notebook with python 3.10 pre-installed.
Primary author
Walter Riviera
(walterbot.ai)
