Neum AI - Open-Source RAG Framework for Scalable Data Pipelines

Neum AI

Build scalable, real-time RAG data pipelines with Neum AI's open-source framework, optimized for embedding billions of data points.

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Neum AI

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Open-source framework for building real-time and scalable RAG data pipelines for AI applications.

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Neum AI offers a powerful open-source framework designed for creating real-time, scalable Retrieval Augmented Generation (RAG) data pipelines. The platform enables efficient data loading, chunking, and embedding, with built-in connectors for various data sources and embedding models. Neum AI facilitates rapid deployment and iteration of data pipelines through its cloud platform. Features include distributed architecture for handling billions of data points, real-time syncing, and smart retrieval informed by data organization. This makes it ideal for enterprises needing robust and flexible data solutions.

Key features

Open-source RAG framework
Real-time data embedding
Built-in connectors for data sources and models
Distributed architecture for large-scale data
Pipeline scheduling and real-time syncing
Smart data retrieval
Feedback-driven context improvement
Governance and observability tools
Rapid local testing and cloud deployment
Support for embedding billions of data points

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Neum AI - Open-Source RAG Framework for Scalable Data Pipelines

Build scalable, real-time RAG data pipelines with Neum AI's open-source framework, optimized for embedding billions of data points.

Neum AI

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