Neum AI
Neum AI is an open-source RAG framework designed for large-scale and real-time data management. It streamlines data pipelines with essential transformations like loading and embedding, utilizing various connectors for data sources and vector databases. Users can run pipelines locally or deploy them to the Neum AI cloud, ensuring synchronization and reliability.
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Top Neum AI Features
- Open-source RAG framework
- Real-time data syncing
- Local pipeline execution
- Cloud deployment compatibility
- Distributed architecture optimization
- Built-in metadata retrieval
- Feedback-driven context improvement
- Role-based access controls
- Custom connector integration
- Monitoring data pipeline health
- Scalable data ingestion
- Quick setup with connectors
- Performance-focused data transformations
- Support for embedding models
- Vector database compatibility
- Automated pipeline scheduling
- Data movement tracking
- Contextual accuracy enhancement
- Multi-cloud deployment options
- Seamless data source integration
