Data & Research · GitHub ·867 ★

NeumAI

Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.

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Details

Author
NeumTry
Category
Data & Research
Platform
GitHub
Framework
custom
Language
python
Stars
867
First indexed
2026-05-15
Last active
2024-01-15
Directory sync
2026-05-15
@NeumTry

Overview

Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.

Quick start

git

git clone https://github.com/NeumTry/NeumAI

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What NeumAI can do

frameworkhrdataragembedding
  • Framework — framework task automation.
  • Hr — Handles people operations such as hiring and policy Q&A.
  • Data — Reads, transforms, and analyses structured data.
  • Rag — Retrieves grounded context before answering.
  • Embedding — Computes vector embeddings for semantic search.

Frequently asked questions

What is NeumAI?
Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.
How do I install NeumAI?
Use git: `git clone https://github.com/NeumTry/NeumAI`. Full setup details on the source page linked above.
Is NeumAI open source?
NeumAI is published on GitHub.
What are alternatives to NeumAI?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for NeumAI is sourced from GitHub, published by NeumTry.

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