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docs: polish

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Andy Lee
2025-07-19 21:53:41 -07:00
parent 1cd809aa41
commit d21a134b2a
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README.md
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@@ -21,7 +21,7 @@ LEANN achieves this through *graph-based selective recomputation* with *high-deg
## Why LEANN? ## Why LEANN?
<p align="center"> <p align="center">
<img src="assets/effects.png" alt="LEANN vs Traditional Vector DB Storage Comparison" width="100%"> <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 articles in just 6GB instead of 201GB. From emails to browser history, everything fits on your laptop. [See detailed benchmarks below ↓](#storage-usage-comparison) **The numbers speak for themselves:** Index 60 million Wikipedia articles in just 6GB instead of 201GB. From emails to browser history, everything fits on your laptop. [See detailed benchmarks below ↓](#storage-usage-comparison)
@@ -64,10 +64,9 @@ uv sync
*macOS:* *macOS:*
```bash First, [download Ollama for macOS](https://ollama.com/download/mac).
# Install Ollama
brew install ollama
```bash
# Pull a lightweight model (recommended for consumer hardware) # Pull a lightweight model (recommended for consumer hardware)
ollama pull llama3.2:1b ollama pull llama3.2:1b
``` ```