Building a reliable data foundation for AI applications is hard — fragmented sources, stale vectors, and scaling nightmares are all too familiar. Neum AI is an ETL platform built specifically for LLM data, helping companies connect and synchronize data into vector stores in real time. It provides a robust framework for building data infrastructure tailored to Retrieval Augmented Generation (RAG) and Semantic Search use cases. With ready-made connectors, Neum AI creates efficient data pipelines that convert both unstructured and structured data into vector embeddings for search indexes. The platform is built to scale, capable of processing millions of vectors while keeping them automatically up-to-date as your underlying data evolves — so your AI stays smart even as things change.
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