AI Infrastructure · PyPI

NodeRAG

NodeRAG, a graph-centric framework introducing heterogeneous graph structures that enable the seamless and holistic integration of graph-based methodologies into the RAG workflow

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Details

Category
AI Infrastructure
Platform
PyPI
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15

Overview

NodeRAG, a graph-centric framework introducing heterogeneous graph structures that enable the seamless and holistic integration of graph-based methodologies into the RAG workflow

Quick start

pip

pip install NodeRAG

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

What NodeRAG can do

ragworkflow
  • Rag — Retrieves grounded context before answering.
  • Workflow — Coordinates multi-step business processes.

Frequently asked questions

What is NodeRAG?
NodeRAG, a graph-centric framework introducing heterogeneous graph structures that enable the seamless and holistic integration of graph-based methodologies into the RAG workflow
How do I install NodeRAG?
Use pip: `pip install NodeRAG`. Full setup details on the source page linked above.
Is NodeRAG open source?
NodeRAG is published on PyPI.
What are alternatives to NodeRAG?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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