Hands-On RAG with Enterprise h2oGPTe

This lesson is Lab One of a hands-on RAG module using Enterprise h2oGPTe, following the theory covered in the prior lecture. The presenter creates a new collection, uploads the h2oGPT research paper, and shows how document ingestion works before querying the collection through the API using the h2oGPTe Python package. He runs example prompts asking for a summary, a LinkedIn post draft, and bullet points on the paper's impact, noting the answers cite the correct source document rather than hallucinating links. The lesson ends with homework to repeat the exercise on a new document.