In addition to syncing data sources, the platform provides more advanced features. It offers role-based access controls to ensure that only authorized individuals can access specific vectors. The platform is also designed to be extensible, allowing users to bring their own embedding models, vector stores, and sources. Users can even run Neum AI in their own cloud.
Key takeaways:
- Confidently bring your data and have it replicated automatically into your vector stores using built-in connectors for data sources like Amazon S3 and Azure Blob Storage.
- Automatically update your vectors as your data changes ensuring your context is always correct.
- Supercharge your data pipeline by transforming and embedding your data with built-in connectors for embedding models like OpenAI and Replicate.
- Leverage role-based access controls to make sure only the right people can access specific vectors and bring your own embedding models, vector stores and sources.