Neum AI

Neum AI

Neum AI is a comprehensive ETL platform designed specifically for large language model data. It enables seamless connection and real-time synchronization of data into vector stores to support advanced search and AI applications.

About Neum AI

Neum AI offers a powerful ETL solution tailored for large language models, enabling organizations to connect, transform, and synchronize data into vector databases in real-time. It facilitates the creation of scalable data infrastructure for Retrieval Augmented Generation (RAG) and semantic search applications. The platform provides versatile connectors for unstructured and structured data, converting them into vector embeddings suitable for search indexing. Designed to handle millions of vectors, Neum AI ensures your data remains current, even as underlying sources evolve.

How to Use

Connect your data sources with Neum AI, transform data into vector embeddings, and store them in vector databases. Use open-source SDKs for local development and deploy pipelines easily to Neum AI's cloud platform for continuous synchronization.

Features

  • Tools for evaluating retrieval effectiveness
  • Monitoring tools for data synchronization processes
  • Connectors for diverse data sources, embedding models, and vector databases
  • Real-time data synchronization capabilities
  • Open-source SDKs for building custom data pipelines
  • Managed platform to scale data processing seamlessly
  • Retrieval features leveraging data organization and metadata

Use Cases

  • Developing Retrieval Augmented Generation (RAG) systems
  • Real-time embedding and indexing of data for RAG applications
  • Ensuring chatbots stay up-to-date with the latest information
  • Creating efficient semantic search indexes for large datasets

Best For

Software developersAI engineersMachine learning specialistsOrganizations building RAG applicationsData scientists

Pros

  • Enables real-time data synchronization for AI applications
  • Provides tools for retrieval performance evaluation and pipeline management
  • Open-source SDKs facilitate local development and testing
  • Supports large-scale processing of millions of vectors
  • Includes pre-built connectors for common data sources and services

Cons

  • Feature access may be limited in lower pricing tiers
  • Requires technical expertise to set up and manage data pipelines effectively

Pricing Plans

Choose the perfect plan. All plans include 24/7 support.

Starter

Free

Ideal for integrating data into projects. Includes open-source connectors and tools. Deploy pipelines to the cloud with limited scale. Community access via Discord.

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Most Popular

Pro

$500/month

Expand your capabilities with unlimited cloud scaling, pipeline scheduling, and real-time synchronization. Gain early access to new features and priority support through Discord.

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Enterprise

Custom Quote

Scale your data pipelines with dedicated support across multiple channels. Access custom infrastructure and connectors tailored to your needs.

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FAQs

What is Neum AI?
Neum AI is an ETL platform designed for large language model data, enabling real-time connection and synchronization into vector stores.
How does Neum AI support AI applications?
It helps build scalable data infrastructure for Retrieval Augmented Generation and semantic search by converting data into vectors.
What types of connectors does Neum AI offer?
It offers connectors for various data sources, embedding models, and vector databases, with options to add custom connectors using open-source tools.
Can I develop and deploy pipelines locally?
Yes, you can design and test pipelines with open-source SDKs and deploy them directly to Neum AI's cloud platform for live data synchronization.
Is Neum AI suitable for large-scale data processing?
Absolutely, the platform is built to handle millions of vectors efficiently, making it ideal for enterprise-level applications.