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Neum AI

ETL platform for LLM data, connecting and synchronizing data into vector stores in real-time.

Source rating 5.0 (68) 656 views 656/mo traffic 0 saves Freemium
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Code(0) Tools(315) Low Code LOW-CODE/NO-CODE No-code DEVELOPER TOOLS Task management ai no code website builder amazon generative ai ETL LLM Vector database Rag Semantic Search Data pipeline Data synchronization Embedding Connectors open-source Real-time data
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Free + from $500 / mo

Verdict

A quick read before you dig into the full page.

Best if
ETL platform for LLM data, connecting and synchronizing data into vector stores in real-time
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You need enterprise SLAs or a fully managed team plan right away
Pick this when
Freemium · Free + from $500 / mo

Overview

Neum AI is an ETL platform for LLM data, designed to help companies connect and synchronize data into vector stores in real-time. It provides a framework to build data infrastructure for Retrieval Augmented Generation (RAG) and Semantic Search. Neum AI offers connectors to create data pipelines that convert unstructured and structured data into vector embeddings for search indexes. The platform scales to process millions of vectors and keeps them up-to-date, even as the underlying data changes.

Neum AI screenshot

Access & connections

Where you can use Neum AI.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • Data connectors for various sources, embedding models, and vector databases
  • Open-source SDKs for composing data flows
  • Managed platform for scaling data pipelines
  • Real-time data synchronization
  • Built-in retrieval informed by data organization and metadata
  • Observability tools for monitoring data syncing
  • Retrieval evaluation tools

FAQ 6

What is Neum AI?
Neum AI is an ETL platform for LLM data, designed to help companies connect and synchronize data into vector stores in real-time. It provides a framework to build data infrastructure for Retrieval Augmented Generation (RAG) and Semantic Search. Neum AI offers connectors to create data pipelines that convert unstructured and structured data into vector embeddings for search indexes. The platform scales to process millions of vectors and keeps them up-to-date, even as the underlying data changes.
How to use Neum AI?
Use Neum AI to connect to various data sources, transform the data into vector embeddings, store them in vector databases, and keep them synchronized. The platform offers open-source SDKs for local pipeline development and deployment to the Neum AI cloud.
What is Neum AI?
Neum AI is an ETL platform for LLM data that helps companies connect and synchronize data into vector stores in real-time.
What does Neum AI help with?
Neum AI helps build data infrastructure for Retrieval Augmented Generation and Semantic Search.
What connectors are available?
Neum AI provides connectors for data sources, embedding models, and vector databases. Users can also add their own connectors using the open-source framework.
How can I test and deploy my pipelines?
You can run your data pipelines locally using open-source SDKs and directly deploy those same pipelines to the Neum AI cloud.
Neum AI Free + from $500 / mo
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