Product Information
What is Neum?
Neum AI is a platform that delivers accurate and up-to-date context to a company's AI applications by optimizing and synchronizing embeddings. It enables the synchronization of vector stores like Pinecone, Weaviate, and ElasticSearch with data sources such as Azure Blob Storage and Amazon S3.
How to use Neum?
1. Connect your data: Use built-in connectors to link your data from sources like Amazon S3 and Azure Blob Storage to vector storage.
2. Keep vectors in sync: Neum AI automatically updates vectors when your data changes, ensuring accurate context.
3. Transform or embed your data: Built-in embedding models and serverless function connectors provide robust support for data pipelines, transforming and embedding your data.
Core Functions of Neum
AI-driven
Sync Vector Store with Data Sources
No-Code and Advanced Code Features
Automatic Data Replication
Built-in Popular Data Sources and Vector Store Connectors
Use AI Models to Transform and Embed Data
Role-Based Access Control
Design Scalable
Run Neum AI in Your Own Cloud
Usage Scenarios of Neum
- AI applications.
- Data pipelines
- Contextual data analysis.
- Embedding optimization.
- Real-time data synchronization
Common Questions about Neum
What is Neum AI?
How do I use Neum AI?
What are the core functions of Neum AI?
What is Neum AI used for?
Can I run Neum AI in my own cloud?
