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AI Agents in Chemical Research: GVIM - An Intelligent Research Assistant System ๐Ÿงช๐Ÿค–

English | ็ฎ€ไฝ“ไธญๆ–‡

Paper Dataset Install Demo

An intelligent research assistant system designed specifically for chemical science, featuring fine-tuned language models and specialized chemistry capabilities.

๐ŸŒŸ Highlights

๐Ÿงฌ Core Features

  • Fine-tuned LLMs for chemistry
  • Molecular visualization
  • Literature retrieval & analysis
  • Multimodal capabilities

๐Ÿš€ Key Benefits

  • Specialized for chemical research
  • Continuous learning ability
  • Free GPU resources on Colab
  • Comprehensive documentation

๐Ÿ“š Model Overview

GVIM combines several cutting-edge technologies:

๐Ÿ”ฌ Technical Features

  • Fine-tuned Models: Trained on curated chemistry instruction data
  • Chemistry Tools: Molecular visualization and SMILES processing
  • Smart Retrieval: Advanced chemical literature search and analysis
  • Multimodal Support: Formula recognition and image analysis
  • Knowledge Base: Local document processing and continuous learning

๐ŸŽฏ Main Applications

  1. Chemical research assistance and analysis
  2. Molecular structure visualization
  3. Literature review and knowledge extraction
  4. Handwritten formula recognition
  5. Document-based knowledge processing

๐Ÿ’ป Quick Start

Requirements

# Create conda environment
conda create -n gvim python=3.9.19
conda activate gvim

# Install dependencies
pip install -r requirements.txt

API Configuration โš™๏ธ

Required API keys:

TAVILY_API_KEY="your_key_here"
REPLICATE_API_TOKEN="your_token_here"
Groq_API_KEY="your_key_here"

Launch ๐Ÿš€

python app.py

๐ŸŽฅ Key Features Showcase

๐Ÿ“ธ Click to view feature demonstrations

1. Nature Chemistry Search Interface

Nature Chemistry Interface

2. Multimodal Chemical Recognition

Multimodal Recognition

3. Local Document Analysis

Document Analysis

๐Ÿ†“ Free GPU Resources

Access GVIM's capabilities using Colab's free GPU resources:

Open In Colab

๐Ÿ“– Citation

@article{ma2024chemai,
  author = {Kangyong Ma},
  affiliation = {College of Physics and Electronic Information Engineering, 
                 Zhejiang Normal University},
  address = {Jinhua City, 321000, China},
  doi = {10.26434/chemrxiv-2024-6tv8c},
  email = {[email protected], [email protected]}
}

๐Ÿ“ž Contact

๐Ÿ“ง Email

๐Ÿข Institution

College of Physics and Electronic Information Engineering
Zhejiang Normal University
Jinhua City, 321000, China


๐ŸŒŸ Star us on GitHub | ๐Ÿ“Œ Commercial use requires authorization | ๐Ÿ“‘ Read our paper

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