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.
Description
how to use:
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.
Core freatures:
Sync vector stores with data sourcesNo-code and pro-code capabilitiesAutomatic data replicationBuilt-in connectors for popular data sources and vector storesTransform and embed data with AI modelsRole-based access controlsExtensible by designRun Neum AI in your own cloud
Use case:
AI applications
Data pipelines
Contextual data analysis
Embedding optimization
Real-time data synchronization
FAQ list:
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