πŸ”¬ ai-research-copilot - Your Smart Assistant for Academic Research

ai-research-copilot uses GPT and retrieval-augmented generation to chat with academic papers, surface citations, and extract supporting evidence.

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πŸ”¬ ai-research-copilot - Your Smart Assistant for Academic Research

Introduction

Overview

ai-research-copilot is an academic research assistant for interacting with papers through conversational AI. It combines GPT with retrieval-augmented generation to answer questions from research material, provide citations, create intelligent summaries, and help users locate supporting evidence.

A user-friendly interface is intended to make these research tasks accessible without requiring advanced technical skills.

Key Features

  • Conversational interaction with academic papers through specific questions.
  • Citation viewing for information associated with the papers being read.
  • Evidence extraction for saving precise passages that support an argument.
  • Intelligent summaries generated from research material.
  • A straightforward interface designed for users with varied technical experience.

How to Use

After launching the application, users can start a new chat and enter a question or topic of interest. The assistant responds with relevant information drawn from research papers.

Users can ask to view citations associated with an answer. They can also highlight text within the chat to expose an option for extracting and saving that evidence.

System Requirements

The application supports Windows 10 or later, macOS, and recent Linux versions. The stated minimum hardware is 4 GB of memory and a dual-core processor or better, while Python 3.7 or newer must also be installed.

Installation packages are provided by operating system. After downloading the appropriate release, users run the application file from their local downloads folder.

Troubleshooting

If the application does not run as expected, the documented checks include confirming that the system meets the requirements, reinstalling the application, and updating the installed Python version. Repository issue reporting and discussion resources are available for problems that continue after these checks.