AI Infrastructure · PyPI

grag-system

Production-grade Graph RAG with RL self-improvement and multi-hop reasoning

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Details

Author
GRAG Contributors
GitHub profile
@bobby-nandigam
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/bobby-nandigam/grag_system
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@bobby-nandigam

Overview

Production-grade Graph RAG with RL self-improvement and multi-hop reasoning

Quick start

pip

pip install grag-system

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

What grag-system can do

llmragaireasoningretrieval
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Ai — ai task automation.
  • Reasoning — Works through multi-step problems with explicit logic.
  • Retrieval — retrieval task automation.

Frequently asked questions

What is grag-system?
Production-grade Graph RAG with RL self-improvement and multi-hop reasoning
How do I install grag-system?
Use pip: `pip install grag-system`. Full setup details on the source page linked above.
Is grag-system open source?
grag-system is published on PyPI.
What are alternatives to grag-system?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for grag-system is sourced from PyPI, published by GRAG Contributors.

Last scraped: · First indexed:

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