| 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.* | |