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How to Summarise Documents Instantly with AI (Langchain, OpenAI)

Science & Technology

Introduction

Hello world, and welcome to Web Dev Frontiers! My name is Tamash, and today, I’m sharing my experience with web technologies, focusing on using OpenAI SDKs with Langchain SDK to consume PDF documents and generate prompts for Q&A. Let’s dive into this amazing AI use case!

Getting Started

Before we start coding, there are two prerequisites:

  1. Register for an OpenAI API Key: Even if you have a ChatGPT account, you need to register separately on platform.openai.com. Once registered, create an API key, save it, and add it to an .env file in your Node.js project.

  2. Understanding Langchain: Langchain is a robust framework for creating AI applications with various Large Language Models (LLMs). It offers document loaders that can load content into an embedded vector database.

What Are Document Loaders?

Langchain document loaders can handle various file types:

  • File Loaders: CSV, JSON, PDFs, text files, etc.
  • Web Loaders: Couchbase, Figma, GitHub, S3 files, YouTube transcripts, etc.

These loaders embed document content into a vector database, enabling querying and interactions.

Example: Apple Watch User Guide

We’ll load the Apple Watch User Guide PDF (292 pages) to have it answer questions about the Apple Watch.

Coding the Application

Step 1: Import Required Libraries

First, import OpenAI, the memory vector store, embeddings, character text splitter, and PDF loader: