Get Answers From Your PDF — Azure OpenAI and Langchain

In this article, I’ll walk you through all the steps required to query your PDFs and get response out of it using Azure OpenAI.

Image by Denys Vitali from Pixabay

Let’s get started by importing the required packages.

Import Required Packages

Here are the packages which we need to import to get started:

from dotenv import load_dotenv
from langchain.document_loaders import UnstructuredFileLoader
from langchain.text_splitter import CharacterTextSplitter
from langchain.embeddings import OpenAIEmbeddings
from langchain.vectorstores import Chroma
from langchain.chains import RetrievalQA
from langchain.llms import AzureOpenAI

Set Environment Variables

First of all, we need to set few variables with information from Azure portal and Azure OpenAI Studio:

OPENAI_API_TYPE = "Azure"
OPENAI_API_VERSION = "2022-12-01"
OPENAI_API_BASE = "ENDPOINT"
OPENAI_API_KEY = "API_KEY" 
DEPLOYMENT_NAME = "DEPLOYMENT_NAME_FROM_AI_STUDIO"

If you are not sure how to grab above values, I would recommend you watch my below video on this.