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🤖 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:

Clone the Source Code:

git clone https://github.com/congkx123789/He_quan_tri.git
cd He_quan_tri

Pull the Snapshot:
```
python python/hf_snapshot_sync.py pull
```
Restore:
```
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.

Downloads last month: 21

Total file size:

1.6 GB