AI Infrastructure · PyPI

enterprise-rag-patterns

Cross-industry compliance patterns for RAG pipelines: FERPA, HIPAA, GDPR, NIST AI RMF, OWASP LLM Top 10, and more. Vector store adapters, framework integrations, and audit logging.

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Details

Author
Ashutosh Rana
GitHub profile
@ashutoshrana
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/ashutoshrana/enterprise-rag-patterns
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@ashutoshrana

Overview

Cross-industry compliance patterns for RAG pipelines: FERPA, HIPAA, GDPR, NIST AI RMF, OWASP LLM Top 10, and more. Vector store adapters, framework integrations, and audit logging.

Quick start

pip

pip install enterprise-rag-patterns

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

What enterprise-rag-patterns can do

agentllmragairetrieval
  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Ai — ai task automation.
  • Retrieval — retrieval task automation.

Frequently asked questions

What is enterprise-rag-patterns?
Cross-industry compliance patterns for RAG pipelines: FERPA, HIPAA, GDPR, NIST AI RMF, OWASP LLM Top 10, and more. Vector store adapters, framework integrations, and audit logging.
How do I install enterprise-rag-patterns?
Use pip: `pip install enterprise-rag-patterns`. Full setup details on the source page linked above.
Is enterprise-rag-patterns open source?
enterprise-rag-patterns is published on PyPI.
What are alternatives to enterprise-rag-patterns?
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 enterprise-rag-patterns is sourced from PyPI, published by Ashutosh Rana.

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