From 2a96d05b21a7abd8673304b2f2063b05502a3d29 Mon Sep 17 00:00:00 2001 From: yichuan520030910320 Date: Tue, 22 Jul 2025 17:06:33 -0700 Subject: [PATCH] upd readme --- README.md | 17 +++++++++-------- .../leann-backend-diskann/third_party/DiskANN | 2 +- 2 files changed, 10 insertions(+), 9 deletions(-) diff --git a/README.md b/README.md index 3624c81..8f62ca8 100755 --- a/README.md +++ b/README.md @@ -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: diff --git a/packages/leann-backend-diskann/third_party/DiskANN b/packages/leann-backend-diskann/third_party/DiskANN index 25339b0..af2a264 160000 --- a/packages/leann-backend-diskann/third_party/DiskANN +++ b/packages/leann-backend-diskann/third_party/DiskANN @@ -1 +1 @@ -Subproject commit 25339b03413b5067c25b6092ea3e0f77ef8515c8 +Subproject commit af2a26481e65232b57b82d96e68833cdee9f7635