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---
title: Research Paper Ai Agent
emoji: 👁
colorFrom: yellow
colorTo: green
sdk: gradio
sdk_version: 5.31.0
app_file: app.py
pinned: false
short_description: Superlinked powered AI research paper agent
---
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
# Research AI Agent
A Gradio application that provides an AI-powered research assistant for academic papers.
Based on this article: https://superlinked.com/vectorhub/articles/research-agent
## Features
- **Paper Retrieval**: Find relevant research papers based on your query
- **Paper Summarization**: Generate concise summaries of selected papers
- **Question Answering**: Ask questions about research topics and get AI-generated answers
## Setup Instructions
This application uses OpenAI's API. You need to provide an API key as a secret in your Hugging Face Space:
1. Go to your Space settings
2. Add a secret with the key `OPENAI_API_KEY` and your OpenAI API key as the value
## How to Use
### General Query
Enter any research-related query, and the agent will classify it as retrieval, summarization, or question answering automatically.
### Paper Retrieval
Search for papers on specific topics by entering a search query. Results include publication dates and summaries.
### Paper Summarization
1. Enter comma-separated paper IDs
2. Click "View Available Papers" to see a list of paper IDs in the dataset
3. Click "Summarize" to generate a summary of the selected papers
### Question Answering
Ask specific questions about research topics, and the agent will provide answers based on the paper database.
## Technology
- **Superlinked**: For vector-based similarity search and time-aware paper discovery
- **Sentence Transformers**: For text embedding
- **OpenAI**: For LLM-based summarization and question answering
- **Gradio**: For the user interface
## Dataset
The application uses a dataset of AI research papers from arXiv.
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