How to use the RAG Collection in Python code

[MaxaAI]

I tryed using Rag Collection in the Python Code but couldn't figure out how to make it inside of the code

import gradientai
import os
from gradientai import Gradient

os.environ['GRADIENT_ACCESS_TOKEN'] = ""
os.environ['GRADIENT_WORKSPACE_ID'] =""

Initialize your Gradient instance

gradient = Gradient()

Initialize your Gradient instance

gradient = Gradient()

def run_answer_example_with_rag_collection(*, gradient: Gradient) -> None:
question = "What is Mprofy?"

print("==== Q & A ====")
print(f"Question: {question}\n")

print("Answering question using RAG collection...")
try:
    # Assuming the RAG Collection ID is passed as a separate parameter, 
    # which is not shown in the documentation snippet provided.
    result = gradient.answer(
        question=question,
        RAG_Collections="Rag collection Id"  # Speculative parameter
    )

    print(f"Answer: {result['answer']}")
except TypeError as e:
    print(f"An error occurred: {e}")
print("================\n")

Run the function

run_answer_example_with_rag_collection(gradient=gradient)

This is the code i have tryed but i couldn't bring it working

[uts58]

Hey @MaxaAI, did you figure it out? I'm also having the same issue but can't find any docs about how to use RAG with API!