create_doc_store.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Dec 27 14:50:23 2022

@author: saeed
"""

import os
from haystack.document_stores import FAISSDocumentStore
from haystack.nodes import DensePassageRetriever
from haystack.utils import convert_files_to_docs, clean_wiki_text


module_dir = os.path.dirname(os.path.abspath(__file__))
os.chdir(module_dir) 

doc_dir = "data/wiki_gameofthrones_txt12"
sql_file = 'faiss_doc_store.db'
faiss_file = 'faiss_index.faiss'

# %% Download/Load Docs

# Get some files that we want to use
# s3_url = "https://s3.eu-central-1.amazonaws.com/deepset.ai-farm-qa/datasets/documents/wiki_gameofthrones_txt12.zip"
# fetch_archive_from_http(url=s3_url, output_dir=doc_dir)

print('---> Loading Documents ...')

# Convert files to docs + cleaning
docs = convert_files_to_docs(dir_path=doc_dir,
                             clean_func=clean_wiki_text,
                             split_paragraphs=True)

# %% Document Store

print('---> Creating document store ...')
document_store = FAISSDocumentStore(embedding_dim=128,
                                    faiss_index_factory_str="Flat",
                                    sql_url=f"sqlite:///{sql_file}")



# %% Retriever (DPR)

print('---> Initializing retriever ...')
retriever = DensePassageRetriever(
    document_store=document_store,
    query_embedding_model="vblagoje/dpr-question_encoder-single-lfqa-wiki",
    passage_embedding_model="vblagoje/dpr-ctx_encoder-single-lfqa-wiki",
    use_gpu=True
)

# %% Create Embeddings  and save results
document_store.update_embeddings(retriever)

print('---> Saving results ...')
# update db
document_store.write_documents(docs)
# save faiss file
document_store.save(faiss_file)

print('Done!')