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--- |
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license: other |
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language: en |
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tags: |
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- cybersecurity |
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- grc |
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- compliance |
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- rag |
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- vector-database |
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- chroma |
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- nca |
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--- |
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# NCA ECC Compliance Vector Database (VDB) |
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<p> |
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This repository hosts a high-quality, pre-processed **Vector Database (VDB)**, specifically structured to support |
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Retrieval-Augmented Generation (RAG) applications in the domain of Cybersecurity Governance, Risk, and Compliance (**GRC**). |
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</p> |
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<p> |
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The VDB serves as the authoritative knowledge base for the **AI-GRC-Assistant** project, providing context on official regulatory requirements. |
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</p> |
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## 🌟 Dataset Overview |
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| Detail | Value | |
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| :--- | :--- | |
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| **Dataset Name** | NCA ECC Compliance Vector Database (VDB) | |
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| **VDB Technology** | Chroma DB (Persistent Client) | |
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| **Embedding Model** | `sentence-transformers` (Generic model type) | |
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| **Data Source** | National Cybersecurity Authority (NCA) of Saudi Arabia | |
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| **File Asset** | `chroma_db` (Contains persistent Chroma DB files) | |
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| **Primary Use Case** | RAG-based AI Advisory for GRC compliance. | |
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## 📜 Data Sourcing and Public Availability |
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<p> |
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All textual data used for embedding is derived from the official public document: |
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<strong>"Guide to Essential Cybersecurity Controls (ECC) Implementation"</strong>. |
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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. |
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</p> |
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- **Official Source Link:** [ECC Implementation Guide (NCA)](https://nca.gov.sa/en/regulatory-documents/controls-list/ecc/) |
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## 🛠️ Usage and Integration |
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<p> |
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This asset is designed to be loaded into a Python RAG pipeline using <strong>Chroma DB</strong> and the specified sentence-transformer embedding method. Ensure the Python environment has <code>chromadb</code> and <code>sentence-transformers</code> installed. |
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</p> |
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## 📧 Contact |
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* **Author:** Meshal Qushaym (MQushaym) |
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* **Email:** [email protected] |