DuckDB Knowledge Graph Memory
Provides a Model Context Protocol (MCP) memory server with a DuckDB backend for knowledge graph storage and retrieval.
Acerca de
DuckDB Knowledge Graph Memory enhances the original MCP Knowledge Graph Memory Server by replacing its JSON file-based backend with DuckDB, an embedded database optimized for analytical queries. This improves performance, scalability, and query flexibility when handling large knowledge graphs. It enables efficient storage, retrieval, and fuzzy searching of entities, observations, and relationships within the knowledge graph, while maintaining data integrity via transaction support and indexing capabilities.
Características Principales
- Uses DuckDB for fast query processing and scalable data storage.
- Supports standard SQL for complex queries.
- Combines SQL queries with Fuse.js for fuzzy search capabilities.
- Offers transaction support for data integrity.
- Includes an embedded database, eliminating the need for an external server.
Casos de Uso
- Enhancing context retrieval in AI models.
- Building knowledge graphs for personalized user experiences.
- Implementing memory storage for conversational AI agents.
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