Neum AI

What is Neum AI

Neum AI is a platform that optimizes and synchronizes embeddings to provide accurate and up-to-date context for AI applications. It facilitates the syncing of vector stores like Pinecone, Weaviate, and ElasticSearch with data sources such as Azure Blob Storage and Amazon S3. This enables companies to utilize AI applications with reliability and efficiency. Neum AI's core features include automatic data replication, built-in connectors for popular data sources and vector stores, and role-based access controls. With its unique ability to transform and embed data using AI models, Neum AI is designed for AI teams, data scientists, and organizations looking to improve their AI applications' accuracy and performance.

How to use Neum AI

Connect your data sources to Neum AI, use built-in connectors to bring data into vector stores, and Neum AI will automatically update your vectors as your data changes, optimizing embeddings for accurate and up-to-date AI applications.

Frequently Asked Questions

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What is the primary function of Neum AI?

Neum AI optimizes and synchronizes embeddings to provide accurate and up-to-date context for AI applications. \n\

How does Neum AI improve AI applications?

By syncing vector stores with data sources and automatically updating vectors as data changes, Neum AI ensures accurate context for AI applications. \n\

Can Neum AI be used for embedding optimization?

Yes, Neum AI allows for transform and embed data with built-in connectors for embedding models and serverless functions.