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README.md

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+---
+language:
+- vi
+- en
+tags:
+- oracle-26ai
+- vector-database
+- semantic-search
+- amazon-reviews
+size_categories:
+- 100K<n<1M
+---
+
+# 🤖 Oracle 26ai Vector Search Snapshot (290K Records)
+
+This repository contains a high-performance database snapshot (Data Pump Export) of an optimized Oracle 26ai environment. It is pre-indexed and ready for production-grade semantic search experiments.
+
+## 📊 Dataset Statistics
+- **Total Records**: ~290,000 processed customer reviews.
+- **Vector Dimensions**: 1024 (FLOAT32).
+- **Oracle Version**: 26ai (23.26.1).
+- **Indexed**: Yes (IVF-Flat Neighbor Partitions).
+
+## 🚀 Quick Setup (New Machine)
+To restore this environment on a fresh machine:
+
+1. **Clone the Source Code**:
+   ```bash
+   git clone https://github.com/congkx123789/He_quan_tri.git
+   cd He_quan_tri
+   ```
+
+2. **Pull the Snapshot**:
+   ```bash
+   python python/hf_snapshot_sync.py pull
+   ```
+
+3. **Restore**:
+   ```bash
+   bash scripts/auto_restore.sh
+   ```
+
+## 🏗️ Architecture
+- **Ingestion**: Blackwell GPU Accelerated (RTX 5060 Ti).
+- **Storage**: Optimized 12GB Clean Tablespace.
+- **Search Engine**: Native Oracle AI Vector Search.
+
+*Crafted by Antigravity for Enterprise-grade AI Demonstrations.*