Scale up your RAG system by building and querying a vector database. Learn to preprocess documents, store chunk embeddings in ChromaDB, retrieve relevant chunks, and construct prompts that can handle multiple context chunks. Additionally, see how to manage updates to your collection and how to approach large-scale ingestion using batch strategies.