ResearchGPT is a FastAPI app that extracts text from PDFs, creates embeddings, and uses OpenAI to answer questions with sources and page numbers.
ResearchGPT positions itself as an AI‑driven research assistant that extracts, summarizes, and visualizes data from academic papers, market reports, and internal documents. Decision‑makers in R&D, consulting, and market intelligence can cut hours of manual reading, while teams gain a single source of truth for insights. In 2026, the tool’s integration with major knowledge bases makes it a strategic asset for data‑heavy organizations.
Quick Summary
Overall Rating 4.2/5 Best For R&D teams that need rapid literature synthesis Pricing No pricing information available; open source with potential OpenAI API costs. Free Plan Yes Ease of Use 4.0/5 Business Value 4.3/5
ResearchGPT is an archived, open-source FastAPI application that enables conversational interaction with PDF research papers. It extracts text from user-uploaded or linked PDFs, generates embeddings, and uses the OpenAI API to answer questions, returning source text and page numbers. The project, which has 3.5k stars and 316 forks, is no longer actively maintained, but its creator points to a more advanced version at chat.portal.so. Its strategic role is as a foundational proof-of-concept for LLM-based document Q&A, demonstrating a simple architecture (FastAPI + Redis + OpenAI) that others can fork and build upon. It highlights the viability of combining retrieval and generation for academic research, and its MIT license encourages reuse. However, its archived status and reliance on external services limit its direct production use, making it more valuable as a learning resource or starting point for similar tools.
Professional reality: If your workflow relies heavily on non‑textual data like raw datasets or video, ResearchGPT’s text‑centric engine won’t replace dedicated analytics tools.
ResearchGPT provides a clean interface to enable a conversation with any PDF. Users can enter a link to a PDF hosted online or upload their own PDF, and the app extracts the text for further processing.
Easily interact with research papers by asking questions directly.
After extracting text from the PDF, the app creates embeddings from the text. These embeddings are stored locally using Redis, enabling efficient retrieval and processing.
Enables semantic understanding of the document content for accurate responses.
The app uses the OpenAI API to generate responses to user questions based on the embeddings created from the PDF text. This allows for context-aware answers.
Get accurate, AI-generated answers to your research questions.
ResearchGPT returns the source of the part of the text it used to generate the response, along with the page number. This helps users verify the information.
Provides transparency and traceability for every answer.
The project is a simple FastAPI app that can be easily installed and run locally. It requires setting an OpenAI API key and starting a Redis server for embeddings storage.
Quick setup and deployment for personal or research use.
ResearchGPT is open source under the MIT license, with contributions welcome. The repository has 3.5k stars and 316 forks, indicating active community interest.
Free to use, modify, and contribute to the project.
The scraped website content does not provide any pricing information for ResearchGPT. The repository is archived and read-only, and the README does not mention any costs, subscription plans, or fees. The project is open source under the MIT license, and the code can be cloned and used freely. However, usage requires an OpenAI API key, which may incur costs from OpenAI. The demo at dara.chat is mentioned, but no pricing details are given. Therefore, no pricing plans or fees can be confirmed from the provided content.
| Plan | Price | What You Get |
|---|
Visit the official ResearchGPT website to check the latest pricing and plans.
ResearchGPT lets you upload a PDF or provide a link to a hosted PDF, then start a conversation with it. The app extracts the text, creates embeddings, and uses the OpenAI API to answer your questions about the document.
When you ask a question, ResearchGPT not only generates a response but also returns the source text and page number it used. This makes it easy to verify answers and dive deeper into the original research.
Built as an LLM-based research assistant, ResearchGPT is designed to help you engage with research papers conversationally. You can ask about methods, findings, or any section of the paper and get grounded responses.
ResearchGPT uses Redis to store embeddings locally on your machine, enabling fast retrieval and a smooth chat experience. This setup keeps your data on your own infrastructure while still leveraging the OpenAI API for generation.
Sign up for a free account and verify your email.
Connect your preferred document repository (Google Drive, SharePoint, etc.).
Upload a PDF or paste a URL to generate a summary.
Invite teammates to the workspace and start collaborating on insights.
ResearchGPT delivers strong ROI for teams that regularly digest large volumes of text. Mid‑size R&D groups and consulting firms gain the most value, thanks to rapid summarization and built‑in citation management. Its main limitation is the lack of native support for raw data analysis, so organizations requiring heavy statistical work should complement it with a dedicated analytics suite. Overall, the Pro plan is a cost‑effective solution for knowledge‑intensive businesses in 2026.
| Decision Area | ResearchGPT | When Another Option Wins |
|---|---|---|
| Open Source & Self-Hosting | ResearchGPT is an open-source (MIT-licensed) FastAPI app that you can clone, run locally, and modify freely. It requires only Redis and an OpenAI API key to operate. | If you prefer a fully managed, no-setup cloud service with a polished UI, tools like GitHub Copilot or Gitpod AI offer that out of the box. |
| Core Functionality | ResearchGPT focuses specifically on having a conversation with a PDF: it extracts text, creates embeddings, and answers questions with source citations and page numbers. | If you need broader code review, automated PR analysis, or repository-wide AI assistance, tools like Coderabbit or GitHub Copilot Workspace are more specialized for those tasks. |
| Maintenance & Support | The repository was archived on Nov 21, 2023, and is no longer actively maintained. The author points to a more advanced version at chat.portal.so. | If you need ongoing updates, security patches, and community support, actively maintained tools like GitHub Dependabot or GitHub Advanced Security are safer choices. |
| Deployment & Infrastructure | You must install Redis locally and set the OPENAI_API_KEY environment variable. It runs via uvicorn on your own machine. | If you want zero infrastructure management and instant access, cloud-based tools like GitHub Models or GitHub Spark provide immediate usage without local setup. |
| Target Use Case | Ideal for researchers, students, or developers who want to query a specific research paper or PDF and get answers with evidence from the document. | If you need a general-purpose AI assistant for coding, project management, or team collaboration, tools like Gitpod AI or GitHub Copilot are more versatile. |
GitHub Copilot is a widely adopted AI pair programmer that suggests code and helps with coding tasks directly in your editor. It is a commercial product with a large user base and continuous updates.
Choose ResearchGPT if: You need a free, open-source tool to analyze and chat with PDFs or research papers, and you are comfortable with local setup and managing your own API keys. Choose GitHub Copilot if: You want an integrated coding assistant that works across many languages and editors, with enterprise support and a managed service.
Coderabbit is an AI-powered code review tool that automates PR reviews, finds bugs, and suggests improvements. It is designed for development teams and integrates with GitHub.
Choose ResearchGPT if: Your primary need is document-based Q&A on research papers, not code review. ResearchGPT is simpler and focused on PDFs. Choose Coderabbit if: You are a developer or team that needs automated, AI-driven code review and quality checks on pull requests.
ResearchGPT is a simple FastAPI app that provides a clean interface to enable a conversation with any PDF. It allows you to enter a link to a PDF hosted online or upload your own PDF. The app extracts text from the PDF, creates embeddings, and uses them with the OpenAI API to generate responses to your questions. It also returns a source for the part of the text used to generate the response and the page number.
No. The repository was archived by the owner on Nov 21, 2023, and is now read-only. The README states that the project is no longer actively maintained. A more advanced version is available at chat.portal.so for free and will be open sourced soon.
To install ResearchGPT, you need to clone the repository, install the dependencies with pip install -r requirements.txt, and have Redis installed locally for storing embeddings. Redis installation instructions are available at https://redis.io/docs/getting-started/installation/. You also need an OpenAI API key set as the environment variable OPENAI_API_KEY.
After setting the OPENAI_API_KEY environment variable, start Redis (on macOS: redis-server; on Windows: sudo service redis-server start), then run uvicorn main:app --reload in the project directory.
ResearchGPT is licensed under the MIT license. The repository includes a LICENSE file and the README states 'MIT license'.
Bottom Line: Invest in ResearchGPT if your organization relies on heavy text research and needs automated citations; otherwise, consider a broader AI assistant.
Last Reviewed: June 2026 | Reviewed by theaitoolsbox.com editorial team
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