import streamlit as st


################################################################################

st.sidebar.title("App parameters")

st.write("This is the RAG page. It is still under construction.")
st.write("Please come back later.")


# https://aws.amazon.com/what-is/retrieval-augmented-generation/
# https://medium.com/@dminhk/retrieval-augmented-generation-rag-explained-b1dd89979681
# https://huggingface.co/transformers/model_doc/rag.html
# https://huggingface.co/transformers/model_doc/rag-tokenizer.html

# (BM25, Dense Passage Retrieval or Sentence Transformers). - need to find a tools for this
# PostgreSQL or MongoDB - need to find a tools for this ( should be vectorial database) for the future use in semantic search
# Testing API of indeed, linkedin, pole emploi
# Testing API of huggingface