Qdrant Memory
Implements a knowledge graph with semantic search capabilities, leveraging the Qdrant vector database for persistence.
Acerca de
This server provides a robust knowledge graph implementation, enhanced with semantic search powered by Qdrant. It combines file-based persistence for graph structure with Qdrant's vector database for semantic embeddings, ensuring both fast graph access and powerful similarity searches. Utilizing OpenAI embeddings, the server synchronizes data between memory and Qdrant to maintain consistent knowledge representation.
Características Principales
- Semantic search using Qdrant vector database
- Graph-based knowledge representation with entities and relations
- HTTPS support with reverse proxy compatibility
- Docker support for easy deployment
- OpenAI embeddings for semantic similarity
Casos de Uso
- Integrating with other systems via HTTPS and reverse proxies
- Implementing semantic search functionality in applications
- Creating and managing knowledge graphs for various applications
Sponsored