In this tutorial, you will use IBM's Docling and open source IBM Granite vision, text-based embeddings and generative AI models to create a RAG system.

LlamaIndex is an open source data orchestration framework for building large language model (LLM) applications.

Vector search is a search technique used to find similar items or data points, typically represented as vectors, in large collections.

XGBoost (eXtreme Gradient Boosting) is an open-source machine learning library that uses gradient boosted decision trees, a supervised learning algorithm that uses gradient descent.