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@@ -26,7 +26,7 @@ LEANN achieves this through *graph-based selective recomputation* with *high-deg
<img src="assets/effects.png" alt="LEANN vs Traditional Vector DB Storage Comparison" width="70%"> <img src="assets/effects.png" alt="LEANN vs Traditional Vector DB Storage Comparison" width="70%">
</p> </p>
> **The numbers speak for themselves:** Index 60 million Wikipedia chunks in just 6GB instead of 201GB. From emails to browser history, everything fits on your laptop. [See detailed benchmarks for different applications below ↓](#storage-comparison-on-different-applications) > **The numbers speak for themselves:** Index 60 million Wikipedia chunks in just 6GB instead of 201GB. From emails to browser history, everything fits on your laptop. [See detailed benchmarks for different applications below ↓](#storage-comparison)
🔒 **Privacy:** Your data never leaves your laptop. No OpenAI, no cloud, no "terms of service". 🔒 **Privacy:** Your data never leaves your laptop. No OpenAI, no cloud, no "terms of service".
@@ -402,7 +402,7 @@ Options:
📊 **[Simple Example: Compare LEANN vs FAISS →](examples/compare_faiss_vs_leann.py)** 📊 **[Simple Example: Compare LEANN vs FAISS →](examples/compare_faiss_vs_leann.py)**
### Storage Comparison on Different Applications {#storage-comparison-on-different-applications} ### Storage Comparison
| System | DPR (2.1M) | Wiki (60M) | Chat (400K) | Email (780K) | Browser (38K) | | System | DPR (2.1M) | Wiki (60M) | Chat (400K) | Email (780K) | Browser (38K) |
|--------|-------------|------------|-------------|--------------|---------------| |--------|-------------|------------|-------------|--------------|---------------|