Connect . Embed . Store
Open-source RAG framework optimized for large-scale and real-time data. Use Neum AI to bring up-to-date context into your AI applications.
Powerful tools to configure your RAGÂ pipelines in seconds
Production-ready cloud platform
Scale
Distributed architecture optimized for embedding generation and ingestion for billions of data points.
Sync
Keep your vectors in sync with built-in pipeline scheduling and real-time syncing.
Observability
Monitor your data to ensure it is correctly being synced into your vector database.
Smart Retrieval
Built-in retrieval informed by the organization of your data and the metadata associated to it.
Self-improving
Improve context quality by providing feedback on retrieval quality.
Governance
Observe actions like searches and data movements.
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Real-time data embedding and indexing for RAG with Neum and Supabase
Building scalable RAG pipelines with Neum AI framework  -  Part 1
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