Qdrant, Google Cloud, Azure, Openai Api, Retrieval Augmented Gen.
import os from nltk.tokenize import sent_tokenize directory_path = "Docs" # List all .txt files in the directory txt_files = [file for file in os.listdir(directory_path) if file.endswith('.txt')] # List to store sentences from all files all_sentences = [] # Read each text file, split into