Imagine having a personal genie who helps you navigate the complex world of health, genetics, and longevity research. The Longevity Genie project brings this vision to life using advanced language models to provide accurate and reliable information.

Current language models have limitations when it comes to delivering precise information on health and longevity. We're addressing this challenge by integrating cutting-edge technologies like Retrieval-Augmented Generation (RAG), Hybrid Search, and AI Agent Workflows. These enhancements allow our models to access high-quality research papers and databases, making them more reliable and accurate.

Core Components:

• GitHub Organization: Open-source LLM agents enabling searches through multiple aging-related databases.
• Project Website: Central hub for the Longevity Genie project.
• Genetics Genie: A custom assistant supporting multiple models, knowledgeable in genetics and clinical trials.

Custom GPTs:

• Genetics Genie GPT: A custom GPT utilizing multiple databases and hybrid search for in-depth genetics research.
• Clinical-Trials Genie: A GPT leveraging ClinicalTrials.gov to provide up-to-date clinical trial information.
• DrugAge Genie: An agent that uses the DrugAge database for drug research and information.
• AnAge Genie: A custom GPT retrieving species age information from the AnAge database.
• Longevity GPT: The initial module implementing RAG and advanced referencing techniques.

Supporting Tools:

• Just-Agents: A framework to organize agent workflows without unnecessary complexity.
• getpaper and indexpaper: Libraries for handling research papers.
• Aging-related Papers Datasets: Datasets hosted on Hugging Face to enhance research and development.