FAQ from Neum AI
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.
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.
How do I use Neum AI?
To use Neum AI, you need to connect your data sources like Amazon S3 and Azure Blob Storage to vector stores, and Neum AI will automatically update your vectors as your data changes.
What are the core features of Neum AI?
The core features of Neum AI include syncing vector stores with data sources, automatic data replication, built-in connectors, transform and embed AI models, role-based access controls, and extensibility.
What are the use cases for Neum AI?
Neum AI is used in AI applications, data pipelines, contextual data analysis, embedding optimization, and real-time data synchronization.
Can I run Neum AI in my own cloud?
Yes, Neum AI is designed to be extensible, and you can run it in your own cloud. Contact Neum AI for more information.