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PaleoPAL: An AI Assistant for Paleoclimatology

Overview

PaleoPal is an AI-powered assistant designed to accelerate paleoclimate research by combining retrieval-augmented generation (RAG), specialized AI agents, and a comprehensive vector knowledge base derived from notebooks, research papers, and ontologies.

PaleoPAL Core Features

  • Domain-Specific Intelligence: PaleoPAL is designed to work with paleoclimate data and research methodologies. It understands fundamental concepts in paleoclimate science such as "proxies" and can perform context-aware analysis, including time series analysis.
  • Multi-Agent Architecture: Specialized agents handle different aspects of research from querying datasets on the LiPDGraph, to opening datasets with PyLiPD, and performing time series analysis with Pyleoclim.
  • Knowledge-Driven: Built on knowledge extracted from code documentation and tutorials and scientific notebooks.
  • Transparency and Collaboration: Real-time progress visualization, clarification dialogues, and context-aware responses ensure researchers understand and control the AI's reasoning process.

Repository Structure

PaleoPAL/
├── backend/ # FastAPI backend server
│ ├── agents/ # Specialized AI agents
│ ├── libraries/ # RAG knowledge bases
│ │ ├── notebook_library/ # Jupyter notebook workflows & snippets. This library is automatically updated from the tutorials for the Pyleoclim and PyLiPD software and the PaleoBooks gallery. │ │ ├── ontology_library/ # Paleoclimate ontology indexing & search
│ │ ├── readthedocs_library/# API docs, code, and symbol indexing
│ │ └── sparql_library/ # SPARQL query templates for LiPDGraph
│ ├── routers/ # API route handlers
│ ├── schemas/ # Data models
│ ├── services/ # Business logic services
│ ├── scripts/ # Utility scripts
│ └── utils/ # Shared utilities
├── frontend/ # React frontend application
├── vscode-extension/ # VS Code extension for PaleoPAL
├── docs/ # Documentation & architecture diagrams
│ ├── figures/
│ ├── gallery/
│ ├── ArchitectureDiagram.mmd
│ ├── PaleoPal_High_Level_Architecture.md
│ └── PaleoPal_Technical_Architecture.md
├── docker-compose.yml # Docker orchestration
└── start-paleopal.sh # Local startup script

Acknowledgement

The development of PaleoPAL is supported by NSF #2425885.

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PaleoPal - An AI Assistant for Paleoclimatology

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