Adaptive Graph Of Thoughts
Employs a graph-based AI reasoning framework to enhance scientific research.
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Adaptive Graph of Thoughts is an AI reasoning framework designed for scientific research, leveraging a Neo4j graph database and the Model Context Protocol (MCP) to integrate with AI applications like Claude Desktop. It provides an Advanced Scientific Reasoning Graph-of-Thoughts (ASR-GoT) framework designed for complex research tasks, enabling dynamic confidence scoring with multi-dimensional evaluations, modular design for extensibility, and easy deployment through Docker.
Características Principales
- Built with modern Python and FastAPI
- Dockerized for easy deployment
- Dynamic confidence scoring with multi-dimensional evaluations
- Integration with Claude Desktop via MCP protocol
- Graph-based reasoning for complex scientific queries
- 1 GitHub stars
Casos de Uso
- Processing complex scientific queries
- Developing sophisticated scientific reasoning systems
- Integrating with AI applications like Claude Desktop
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