Practical RAG Techniques: Interacting with Enterprise H2O GPTe

Learn to summarize documents, create LinkedIn posts, and uncover insights with Enterprise GPTe and Python Notebooks.
Follow our hands-on exercises for practical skills and valuable insights, whether you're a beginner or advanced user.
Instructions to access Enterprise H2O GPTe: You can gain access to Enterprise H2O GPTe by logging in using your h2o.ai Managed Cloud Account, your Gmail or GitHub credentials via the following link: h2ogpte.genai.h2o.ai
Access to the h2oGPT research paper pdf file: h2oGPT: Democratizing Large Language Models
The Link for the Python LAB 1 can be found here: LAB 1 - RAG.ipynb
Please use the following link for the: rag_url = ‘h2ogpte.genai.h2o.ai/’