OpenBioLLM: A Multi-Agent Architecture with Open-Source LLMs for Enhanced Genomic Question Answering

Project Overview

This repository contains two main versions exploring and optimizing large language model applications in the biomedical domain:

1. Pilot Study: A reproduction and improvement of GeneGPT settings using Ollama for open-source model management
2. OpenBioLLM: A novel multi-agent architecture system

Project Structure

OpenBioLLM/
├── pilotstudy/          # Pilot Study - GeneGPT reproduction with Ollama
├──  openbiollm/         # OpenBioLLM - Multi-agent architecture
└── README.md            # README.md

Version Details

1. Pilot Study (pilotstudy/)

Objective: Reproduce GeneGPT research settings using Ollama for open-source model management

Key Features:

• Based on original GeneGPT settings and evaluation methods
• Uses Ollama for unified management of various open-source LLMs
• Includes prompt engineering optimized versions
• Supports multiple model comparison experiments (Qwen2.5-32B, Qwen2.5-72B, Llama3.1-70B, etc.)

Experimental Settings:

• Original setting reproduction
• Prompt engineering optimized versions (-optimized)
• Full version vs. slim version comparisons
• Multi-step reasoning experiments

Models Tested:

• Qwen2.5-32B, Qwen2.5-72B
• Llama3.1-70B
• Qwen2.5-coder-32B

2. OpenBioLLM (openbiollm/)

Objective: Build a novel multi-agent architecture system for enhanced genomic question answering

Technology Stack:

• LangChain: Agent framework
• LangGraph: Multi-agent collaboration
• Multi-Agent Architecture: Specialized agent division of labor

Core Components:

• Router: Intelligent routing system for query classification

• Evaluator: Quality assessment and iteration control

• Generator: Final answer synthesis

• Search Agent: Web search and information retrieval

• BLAST Agent: Biological sequence alignment and comparison

• EUtils Agent: NCBI database querying (genes, proteins, diseases)

Architecture Advantages:

• Modular design for easy extension
• Specialized agent division of labor
• Configurable collaboration strategies
• Automatic evaluation script

Quick Start

Pilot Study Version

cd pilotstudy/
# See README.md for detailed setup and running instructions

OpenBioLLM Version

cd openbiollm/
# See README.md for detailed setup and running instructions

Datasets

• GeneHop: Contains gene alias, disease-gene location, and SNP gene function tasks
• GeneTuring: Includes gene alias, gene-disease association, and gene location tasks

Citation

If you use this work in your research, please cite our paper:

pending

Contributing

We welcome contributions! Please feel free to submit issues and pull requests.

License

pending