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Neum AI is an open-source framework designed to help you build scalable and performant data pipelines optimized for large-scale and real-time data. It provides distributed architecture for embedding generation and ingestion for billions of data points and offers tools like pipeline scheduling, real-time syncing, and monitoring for enhanced accuracy and observability. The framework includes built-in connectors for data sources, embedding models, and vector databases, with the flexibility to add custom connectors. Neum AI supports Retrieval-Augmented Generation (RAG) to bring up-to-date context into your AI applications.
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RAG-first framework
Built-in connectors to common data sources
Custom connector capability
Open-source SDKs
Cloud deployment
Embedding generation and ingestion
Pipeline scheduling
Real-time syncing
Monitoring and observability tools
Support for billions of data points
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