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https://github.com/mukulpatnaik/researchgpt
開啟線上網站 
一個在 2023 年底封存、目前已不再維護的開源專案。
這是編輯給出的評估，滿分 5 分，不是使用者評分的平均值。 本頁的各方觀點由 AI 根據產品資訊歸納，不是真實使用者的評價。
依據 OpenAITools.app 於 2026-11-11 查驗的觀測資料，ResearchGPT（github.com）是收錄於 AI 研究工具的 AI 平台，每月產生 0 次造訪，月流量變化量為 +0（0.0%）。其主要地理市場為全球（流量佔比 —），並採用免費定價模式。依每月流量計算的主要競爭替代方案包括 SciSpace（每月 446.41萬次造訪），ResearchPal（每月 5.52萬次造訪），Paper Digest（每月 9.72萬次造訪）。
2023 年就被作者封存了，現在裝起來一堆相依性報錯。
放水流的骨董。
以下短評基於實時網頁探查、定價機制與同類基準由 AI 綜合生成，用於呈現不同情境下的常見亮點與槽點，非實名真實用戶留言。
提供線上 PDF 連結或上傳本機檔案，即可就文件內容連續提問。
每個答案都會回傳所用的原文片段與對應頁碼，便於核實。
文字被切分並產生向量嵌入，用來檢索最相關的段落後再生成回答。
輕量的 Python 應用，使用 Redis 存放向量，可自行部署與改造。
ResearchGPT 解決的是大家熟悉的難題：論文太密。與其為了找一個細節讀完整篇文件，不如直接提問，得到有原文依據的回答。這個應用是一個精簡的 FastAPI 服務：你提供線上 PDF 連結或上傳自己的檔案，它擷取文字、建立向量並存在本機（搭配 Redis），再透過 OpenAI API 產生有依據的回覆。每個回答都附上來源片段與頁碼，比一般聊天機器人的回覆更容易核實。
由於是開源專案，ResearchGPT 更像是起點或自架工具，而不是成熟的 SaaS 產品。你需要自行執行、提供自己的 OpenAI API 金鑰，然後取得簡潔的網頁介面，用於單篇論文的閱讀與問答。它被廣泛 fork（超過 300 次、約 3.5k 星），是向量化文件問答領域知名的參考實作。
重要狀態說明：該 GitHub 倉庫已被作者於 2023 年 11 月封存，現為唯讀，README 明確表示專案不再積極維護，並指向 chat.portal.so 上的新線上版本。程式碼仍公開可用、可自架，但不再更新，且部署屬於開發者任務，需要 Python、Redis 與 API 金鑰。
不需通讀全文，直接詢問方法、指標或結論，並取得附頁碼的出處。
以 MIT 授權的程式碼為基礎，打造自己的 PDF 問答服務或嵌入既有工具。
用對話方式拆解難懂段落，並檢視支撐答案的原文摘錄。
同一分類下同類 AI 工具的流量並排比較
| 排名 | AI 工具 | 每月造訪次數 | 月增幅 | 直接流量占比 | 價格 | 正面對決 |
|---|---|---|---|---|---|---|
| ● | ResearchGPT | 0 | — | — | 免費 | 目前產品 |
| 1 | SciSpace | 446.41萬 | +8.6% | 29% 直接流量 | 免費增值 | 對比 SciSpace |
| 2 | ResearchPal | 5.52萬 | -5.2% | 41% 直接流量 | 免費增值 | 對比 ResearchPal |
| 3 | Paper Digest | 9.72萬 | -7.1% | 27% 直接流量 | 免費增值 | 對比 Paper Digest |
| 4 | ResearchRabbit | 83.16萬 | +3.1% | 45% 直接流量 | 免費 | 對比 ResearchRabbit |
| 5 | SciSummary | 3.89萬 | -37.7% | 23% 直接流量 | 免費增值、免費試用、付費 | 對比 SciSummary |
| 6 | Semantic Scholar | 819.87萬 | +5.8% | 23% 直接流量 | 免費 | 對比 Semantic Scholar |
ResearchPal is an AI research workspace that searches academic sources, generates citation-backed literature reviews, answers questions from your own PDFs, and helps draft and polish scholarly writing.
ResearchPal is an AI research workspace that searches academic sources, generates citation-backed literature reviews, answers questions from your own PDFs, and helps draft and polish scholarly writing.
Paper Digest is an AI research platform that summarizes literature, generates literature reviews with citations, and delivers daily digests of new papers across arXiv, PubMed, bioRxiv and major conferences. Launched in 2018 and used by millions of researchers, it combines a citation-backed review engine that avoids inventing results with tools for reading PDFs, writing, question answering, claim verification and topic tracking.
Paper Digest is an AI research platform that summarizes literature, generates literature reviews with citations, and delivers daily digests of new papers across arXiv, PubMed, bioRxiv and major conferences. Launched in 2018 and used by millions of researchers, it combines a citation-backed review engine that avoids inventing results with tools for reading PDFs, writing, question answering, claim verification and topic tracking.
ResearchRabbit is a free AI research discovery tool that maps the literature around the papers you care about. Seed it with a paper you like and it visualises related work, key authors and emerging topics, learning from your choices to surface the research you have been missing.
ResearchRabbit is a free AI research discovery tool that maps the literature around the papers you care about. Seed it with a paper you like and it visualises related work, key authors and emerging topics, learning from your choices to surface the research you have been missing.
面向科學論文的 AI 摘要與學習指南
Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
免費 / 開源由 DeepSeek-V4 與 R1 驅動的高效開源權重與託管推理 AI，token 成本極低。
OpenRead is an AI research platform that lets you search across a huge corpus of scholarly papers, ask questions of individual documents or whole collections, compare findings, and keep notes in one connected workspace.
Jenni is an AI research and academic writing workspace that helps students, researchers, and academics read, write, and cite in one place. Bring in PDFs or import a Zotero or Mendeley library, and Jenni's autocomplete suggests sentences grounded in your own sources, with every suggestion linked to the exact page and paragraph. A built-in writer, AI chat, citation engine covering 10,000+ styles, and a Reviews tool for catching weak or unverified claims make it a full environment for producing cited papers.
Jenni is an AI research and academic writing workspace that helps students, researchers, and academics read, write, and cite in one place. Bring in PDFs or import a Zotero or Mendeley library, and Jenni's autocomplete suggests sentences grounded in your own sources, with every suggestion linked to the exact page and paragraph. A built-in writer, AI chat, citation engine covering 10,000+ styles, and a Reviews tool for catching weak or unverified claims make it a full environment for producing cited papers.
