Free
$0Free plan available.
Neum AI is an ETL platform for LLM data, designed to help companies connect and synchronize data into vector stores in real-time. It provides a framework to build data infrastructure for Retrieval Augmented Generation (RAG) and Semantic Search. Neum AI offers connectors to create data pipelines that convert unstructured and structured data into vector embeddings for search indexes. The platform scales to process millions of vectors and keeps them up-to-date, even as the underlying data changes.
Use Neum AI to connect to various data sources, transform data into vector embeddings, store them in vector databases, and maintain synchronization. The platform provides open-source SDKs for developing pipelines locally and deploying them to the Neum AI cloud.
Neum AI is an ETL platform for LLM data that enables companies to connect and synchronize data into vector stores in real-time.
Neum AI assists in building data infrastructure for Retrieval Augmented Generation and semantic search.
Neum AI provides connectors for various data sources, embedding models, and vector databases. Additionally, users can implement custom connectors using the open-source framework.
You can develop and run data pipelines locally using open-source SDKs, then deploy those same pipelines directly to the Neum AI cloud.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to Neum AI.
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