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.

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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 for your needs. All plans include 24/7 support and regular updates.

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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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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Frequently Asked Questions

Find answers to common questions about Neum AI

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.