Build Your Own ChatGPT for PDFs with LangChain

Introduction

In six months, OpenAI's ChatGPT has evolved into an essential resource for everyone, excelling in rapid, accurate, and conversational interactions. Its usefulness extends beyond the tech industry, as demonstrated by open-source tools such as AutoGPT, BabyAGI, and LangChain, which leverage these language models to streamline coding, connect language models to data, and expedite AI app development. For instance, LangChain employs ChatGPT to simplify AI app creation through PDF Q&As.

Learning Objectives

1. Construct a chatbot interface with Gradio

2. Process text from PDFs and create embeddings

3. Store embeddings in the Chroma vector database

4. Interact with the LangChain backend

5. Conduct semantic text searches to locate relevant data

6. Interact with LLM (ChatGPT) via chatbot

Table of Contents

• Introduction

• LangChain Overview

• Text Embeddings

• LangChain Tools

• Dev Environment Setup

• Chat Interface Construction

• Backend Handling

• Gradio Events

• API Key Management

• Chain Creation

• Response Generation

• PDF Image Rendering

• Potential Enhancements

• Practical Applications

• Conclusion