hello, is it possible to load vectors from faiss index to qdrant using llama-index

Hello, I have a CSV files that contain for each row a name and it's intro. I want to get on this intro all the superpowers mentioned by users. I noticed that when using gpt-index with GPTSimpleVectorIndex and asks : what are the superpowers of all these people ? . It just returns me ones from 3 people over 21 . How can i do to have infos for all users.

Below my current code:
from pathlib import Path from llama_index import download_loader download_loader("antler-sheet1.csv") SimpleCSVReader=download_loader("SimpleCSVReader") documents=loader.load_data(file=Path("sheet1.csv")) index=GPTSimpleVectorIndex.from_documents(documents) index.save_to_disk("index.json") index.query("what are the superpowers of all these people ?")

Hello,

I am getting Not implemented Error ( traceback attached) when trying to execute Guideline Evaluator with Bedrock https://docs.llamaindex.ai/en/stable/examples/evaluation/guideline_eval.html

However in my code am using eveluate_response and not aevaluate_response so I am wondering why it's using acomplete (which is not implemented) instead of complete.