Introducing Paper QA: Revolutionizing Information Extraction From Text Files

Answer technical questions with cited sources using OpenAI Embeddings, FAISS vector DB, and LangChain.

Image generated using MidJourney, prompt by the author.

Table of contents

Intro

How Paper QA Works

Example Output

How can you use Paper QA

1. Research and Academia
2. Professional Decision-Making
3. Journalism and Content Creation
4. Knowledge Management in Organizations
5. Empowering Education and Learning

Intro

Information extraction is crucial to success in various professions, from research and academia to law, medicine, finance, journalism, and more. Quickly locating and synthesizing relevant information is essential for productivity and informed decision-making.

Enter Paper QA, a powerful tool designed to revolutionize the way we extract insights from documents. This library utilizes OpenAI Embeddings and a vector database called FAISS to embed and search documents, while LangChain helps generate the answers.