https://github.com/aashish75/agentic-research-assistant
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (5.6%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: Aashish75
- Language: Python
- Default Branch: main
- Size: 0 Bytes
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
agentic-research-assistant
A lightweight autonomous agent built using LangChain and OpenAI's GPT-3.5 that automates academic research.
Developed an intelligent AI assistant capable of interpreting natural language research questions.
Integrated the arXiv API as a custom tool to retrieve top academic papers related to user queries.
Used LangChain’s Tool + Agent framework to create an agent that autonomously searches, synthesizes, and presents academic insights.
Optimized for interpretability and ease of use via a CLI-based interactive workflow.
Supports future extension with additional tools (e.g., PDF generation, summarization agents, Streamlit UI).
Tech Stack: Python, LangChain, OpenAI GPT-3.5, arXiv API, dotenv
Owner
- Name: Aashish M
- Login: Aashish75
- Kind: user
- Repositories: 1
- Profile: https://github.com/Aashish75
I code
GitHub Events
Total
- Push event: 4
- Create event: 2
Last Year
- Push event: 4
- Create event: 2
Dependencies
- arxiv >=1.4.7
- langchain >=0.1.13
- openai >=1.10.0
- python-dotenv >=1.0.1