license: other
language: en
tags:
- cybersecurity
- grc
- compliance
- rag
- vector-database
- chroma
- nca
NCA ECC Compliance Vector Database (VDB)
This repository hosts a high-quality, pre-processed **Vector Database (VDB)**, specifically structured to support Retrieval-Augmented Generation (RAG) applications in the domain of Cybersecurity Governance, Risk, and Compliance (**GRC**).
The VDB serves as the authoritative knowledge base for the **AI-GRC-Assistant** project, providing context on official regulatory requirements.
🌟 Dataset Overview
| Detail | Value |
|---|---|
| Dataset Name | NCA ECC Compliance Vector Database (VDB) |
| VDB Technology | Chroma DB (Persistent Client) |
| Embedding Model | sentence-transformers (Generic model type) |
| Data Source | National Cybersecurity Authority (NCA) of Saudi Arabia |
| File Asset | chroma_db (Contains persistent Chroma DB files) |
| Primary Use Case | RAG-based AI Advisory for GRC compliance. |
📜 Data Sourcing and Public Availability
All textual data used for embedding is derived from the official public document: "Guide to Essential Cybersecurity Controls (ECC) Implementation". This document is publicly available on the NCA website and is intended for use by national organizations, ensuring the assistant’s advice is based on open and verifiable regulatory standards.
- Official Source Link: ECC Implementation Guide (NCA)
🛠️ Usage and Integration
This asset is designed to be loaded into a Python RAG pipeline using Chroma DB and the specified sentence-transformer embedding method. Ensure the Python environment has chromadb and sentence-transformers installed.
📧 Contact
- Author: Meshal Qushaym (MQushaym)
- Email: meshalqushim@outlook.com