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Neum AI

Last updated: August 8, 2024

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Neum AI is an open-source framework designed to help you build scalable and performant data pipelines optimized for large-scale and real-time data. It provides distributed architecture for embedding generation and ingestion for billions of data points and offers tools like pipeline scheduling, real-time syncing, and monitoring for enhanced accuracy and observability. The framework includes built-in connectors for data sources, embedding models, and vector databases, with the flexibility to add custom connectors. Neum AI supports Retrieval-Augmented Generation (RAG) to bring up-to-date context into your AI applications.

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Neum AI's Top Features

RAG-first framework

Built-in connectors to common data sources

Custom connector capability

Open-source SDKs

Cloud deployment

Embedding generation and ingestion

Pipeline scheduling

Real-time syncing

Monitoring and observability tools

Support for billions of data points

Frequently asked questions about Neum AI

Neum AI's pricing

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