How to evaluate LlamaIndex RAG with OpenAI model🔥: Python — LlamaIndex #3

In today’s tutorial, we're going to use LlamaIndex with an OpenAI model to evaluate the travel recommendation RAG that we built in the previous LlamaIndex tutorial. I'll show you an example in Python.

⭐ Code ⭐
GitHub repository: https://github.com/rokbenko/ai-playgr...
Code for this tutorial: https://github.com/rokbenko/ai-playgr...

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🎞️ Timestamps 🎞️
00:00 – Intro
00:14 – Code for this tutorial
00:30 – Previous tutorial
01:10 – Install LlamaIndex and Streamlit
01:17 – Load documents
01:30 – Generate evaluation questions
02:03 – Take the first 3 questions
02:11 – Create a vector index
02:16 – Initialize the OpenAI model
02:33 – LlamaIndex evaluators explained
02:57 – Initialize LlamaIndex evaluators
03:30 – Async function for evaluation
03:55 – Save evaluation results
04:01 – Extract evaluation results
04:21 – Create a pandas DataFrame and save it to an Excel file
04:27 – Run the Python example
04:39 – Excel file examination
04:59 – Outro

#AI #LlamaIndex #OpenAI #RAG #Eval