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Neum AI

Neum AI is an ETL platform for LLM data that connects and synchronizes data into vector stores in real-time, enabling scalable Retrieval Augmented Generation and semantic search pipelines.

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Key Features

  • Data Connectors

    Supports various data sources, embedding models, and vector databases.

  • Pipeline Composition

    Open-source SDKs to build and test data flows locally.

  • Real-time Synchronization

    Automatically updates vectors as underlying data changes.

  • Observability Tools

    Monitors data syncing and retrieval quality.

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Why Choose Neum AI

  • Real-time Sync:

    Keeps vector stores updated instantly with data changes.
  • Open-source SDKs:

    Enables flexible local development and deployment.
  • Scalable Platform:

    Handles millions of vectors with managed cloud infrastructure.

Pricing

Neum AI offers a Starter free plan with open-source connectors and limited scale. The Pro plan costs $500/month with unlimited scale, pipeline scheduling, and priority support. Enterprise pricing is available by quote, including dedicated infrastructure and custom connectors.

About Neum AI

Neum AI is an ETL platform for LLM data that connects and synchronizes data into vector stores in real-time, enabling scalable Retrieval Augmented Generation and semantic search pipelines.

What Neum AI Does

Neum AI builds and maintains data pipelines that convert diverse data sources into vector embeddings for semantic search and Retrieval Augmented Generation. This enables AI applications to access up-to-date, relevant information efficiently.

The platform offers open-source SDKs for composing data flows, connectors for data sources, embedding models, and vector databases, and a managed cloud service for scaling and real-time synchronization. It includes observability and retrieval evaluation tools to monitor and improve data quality.

Neum AI is used in industries requiring dynamic AI knowledge bases, such as chatbot development, enterprise search, and machine learning workflows that depend on fresh, accurate data embeddings.

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Pros & Cons

  • Extensive Connectors

    Provides built-in connectors and supports custom additions.

  • Managed Scalability

    Cloud platform supports large-scale vector processing.

  • Pricing

    Pro plan is relatively expensive at $500/month.

  • Complexity

    Requires technical expertise to build and deploy pipelines.

Frequently Asked Questions

What is Neum AI?

Neum AI is an ETL platform for LLM data that connects and synchronizes data into vector stores in real-time.

What does Neum AI help with?

It helps build data infrastructure for Retrieval Augmented Generation and semantic search.

What connectors are available?

Connectors for data sources, embedding models, and vector databases are provided, with support for custom connectors.

How can I test and deploy my pipelines?

You can run pipelines locally using open-source SDKs and deploy them to the Neum AI cloud.

What pricing plans does Neum AI offer?

Starter free plan, Pro at $500/month, and Enterprise plans by quote with dedicated support.

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