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@@ -389,15 +389,7 @@ python examples/compare_faiss_vs_leann.py
Same dataset, same hardware, same embedding model. LEANN just works better.
## Reproduce Our Results
```bash
uv pip install -e ".[dev]" # Install dev dependencies
python examples/run_evaluation.py data/indices/dpr/dpr_diskann # DPR dataset
python examples/run_evaluation.py data/indices/rpj_wiki/rpj_wiki.index # Wikipedia
```
The evaluation script downloads data automatically on first run.
### Storage Usage Comparison
@@ -424,6 +416,15 @@ The evaluation script downloads data automatically on first run.
*Benchmarks run on Apple M3 Pro 36 GB*
## Reproduce Our Results
```bash
uv pip install -e ".[dev]" # Install dev dependencies
python examples/run_evaluation.py data/indices/dpr/dpr_diskann # DPR dataset
python examples/run_evaluation.py data/indices/rpj_wiki/rpj_wiki.index # Wikipedia
```
The evaluation script downloads data automatically on first run. The last three results were tested with partial personal data, and you can reproduce them with your own data!
## 🔬 Paper
If you find Leann useful, please cite:

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packages/leann-backend-diskann/third_party/DiskANN vendored

Submodule packages/leann-backend-diskann/third_party/DiskANN updated: 25339b0341...af2a26481e