AI Infrastructure · PyPI

rag_control

A runtime governance, security and execution control layer for Retrieval-Augmented Generation (RAG) systems.

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Details

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

Overview

A runtime governance, security and execution control layer for Retrieval-Augmented Generation (RAG) systems.

Quick start

pip

pip install rag_control

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

What rag_control can do

llmragairetrievalai-security
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Ai — ai task automation.
  • Retrieval — retrieval task automation.
  • Ai Security — ai-security task automation.

Frequently asked questions

What is rag_control?
A runtime governance, security and execution control layer for Retrieval-Augmented Generation (RAG) systems.
How do I install rag_control?
Use pip: `pip install rag_control`. Full setup details on the source page linked above.
Is rag_control open source?
rag_control is published on PyPI.
What are alternatives to rag_control?
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 rag_control is sourced from PyPI, published by RetrievalLabs.

Last scraped: · First indexed:

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