PDFChat: Chat with Any PDF

About The Project

PDFChat is a simple application developed by leveraging the capability of LLM (chatgpt) to generate humanlike text, answer questions based on context.

Steps followed:

DataBase Creation

• Read and extract the content of the given pdf file
• Get emebddings of the given file using OpenAI Ada model and store them in Chroma base.

Inference

• For the user query get user embeddings using Ada
• Perform doc search to extract top 3 paragraphs which are semantically similar to the query
• Pass the extracted docs as Context and user query to ChatGPT to formulate the answer.

Built With

This section should list any major frameworks/libraries used to bootstrap the project.

Getting Started

To run the application you need the following pre-requisites

Prerequisites

• Docker installed on your system. You can follow the instructions here to download it for your system.
• OpenAI API Key. You can get it from here. Add your API key to .env file.

Installation

Run the below commands for installation

1. Build Docker Image

docker build --tag PDFChat --file Dockerfile .

2. Run the Docker Image

docker run -it --env-file .env --name gpt-gateway gpt-gateway