ResearchGPT

ResearchGPT is an open-source project that adds a conversational layer to academic reading. Instead of scrolling through a long paper to find a specific result or DeFinition, users can ask questions in natural language and get answers drawn from the document. The project is distributed through its public code repository, so it is AImed at readers who are comfortable running or configuring a small web APP themselves.

What it does

The tool presents a simple interface where a user supplies a research paper in one of two ways: by pasting a link to a PDF that is already hosted online, or by uploading a local PDF file. Once the document is loaded, the interface allows a dialogue about its contents. This makes it possible to probe methods, datasets, reported metrics, or limitations without manually searching the text.

Key capabilities

• Link or upload input: Accepts either a URL pointing to an online PDF or a file from the user's own device.
• Paper-focused dialogue: Questions and answers stay centered on the loaded document rather than General knowledge.
• Question-and-answer workflow: Supports follow-up questions so users can dig into a SECtion, term, or claim step by step.
• Open-source foundation: Because the code is publicly available, technically inCLIned users can inspect it, adapt the interface, or change the underlying model configuration.
• Browser-based use: InterACTion happens through a web interface rather than a desktop application.

Who it is for

ResearchGPT is most useful for graduate students, academic researchers, and analysts who read many papers and want a faster way to extract Information. It also suits developers and hobbyists interested in document question-answering systems, since the open code provides a starting point they can extend. Readers who simply want a polished, hosted product with guaranteed uptime and support may find the self-hosted approach less convenient.

How to get started

1. Visit the project's repository and read the setup instructions.
2. Install the required dependencies and configure any model or API credentials the project expects.
3. Launch the local web interface.
4. Paste a link to an online PDF or upload a paper from your computer.
5. Begin asking questions about the document and refine them as needed.

Because the project relies on an external language model service in many configurations, results and available features may vary depending on how it is set up and which model is connected.

Pricing and access caveat

The project itself is Open Source and free to use, but running it may involve costs from the model provider or hosting environment chosen by the user. Exact requirements, supported file types, and user interface details may change as the project evolves, so check the current repository documentation before relying on it for critical work.