Neum AI

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.

Open-source SDKs to compose data flows

RAG-first framework to build performant, scalable and reliable data pipelines. Focused on key data transformations like loading, chunking and embedding.

Built-in connectors to common services

Choose from connectors for data sources, embedding models and vector databases. Add your own connectors using our open-source framework.

Test and deploy your pipelines

Run your data pipelines locally using open-source SDKs and directly deploy those same pipelines to the Neum AI cloud.

Production-ready scale and quality for RAG

• Scale: Distributed architecture that optimizes embedding generation and ingestion to handle billions of data points.
• Sync: Keep your vectors in sync with built-in pipeline scheduling and real-time syncing.
• Data Management: Neum AI cohesively tracks and augments metadata to provide rich retrieval experience.
• Logs and Analytics: Monitor your data pipelines to ensure your data 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.
• Context Augmentation: Improve context quality by providing feedback on retrieval quality.