This multimodal agent analyzes uploaded videos and searches the web to answer questions about their content.
📚ArxivPaperSearch🔍
This Hugging Face app searches arXiv papers and uses AI to summarize relevant research and answer questions.

About 📚ArxivPaperSearch🔍
ArxivPaperSearch is a web app hosted as a Hugging Face Space. A user enters a question, and the app searches arXiv for related academic papers, summarizes them with AI, and answers follow-up questions based on the retrieved research.
The homepage shows an error trace in which a search failed with an HTTP 429 response from the arXiv API, which usually indicates too many requests. Pricing is not stated, no public repository is listed, and the source does not describe how results are ranked or how many papers a search covers.
Key features
- Searches arXiv academic papers based on a user-entered question
- Retrieves papers relevant to the question and summarizes them using AI
- Answers questions using the retrieved research papers
- Space page links to text-generation models including Mistral-7B-Instruct-v0.2 and gemma-7b-it
- Tagged as a Gradio app with Docker support
- Accepts a plain-language question as the starting point for a search
- Combines paper retrieval, summaries, and question answering in one interface
- Runs in a web browser, with no installation described
- The arXiv API can return HTTP 429 errors, which interrupt searches, as shown on the homepage
- No public repository is listed, and the app is not marked as open source
- Pricing is not stated
📚ArxivPaperSearch🔍 at a glance
- Category
- AI & Machine Learning › AI Search & Research
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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📚ArxivPaperSearch🔍 FAQ
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