What is Neum AI?
Neum AI is a platform that helps companies have accurate and up-to-date context in their AI applications by optimizing and synchronizing embeddings. It allows syncing vector stores like Pinecone, Weaviate, and ElasticSearch with data sources such as Azure Blob Storage and Amazon S3.
Neum AI's Tags
How to use Neum AI?
1. Connect your data: Use built-in connectors to bring your data from sources like Amazon S3 and Azure Blob Storage into vector stores.2. Keep your vectors in sync: Neum AI automatically updates your vectors as your data changes, ensuring accurate context.3. Transform or embed your data: Supercharge your data pipeline by transforming and embedding your data with built-in connectors for embedding models and serverless functions.
Neum AI's Core Features
Sync vector stores with data sources
No-code and pro-code capabilities
Automatic data replication
Built-in connectors for popular data sources and vector stores
Transform and embed data with AI models
Role-based access controls
Extensible by design
Run Neum AI in your own cloud
Neum AI's Use Cases
AI applications
Data pipelines
Contextual data analysis
Embedding optimization
Real-time data synchronization
