docs: data

.gitmodules

@@ -14,5 +14,3 @@
 [submodule "packages/leann-backend-hnsw/third_party/libzmq"]
 	path = packages/leann-backend-hnsw/third_party/libzmq
 	url = https://github.com/zeromq/libzmq.git
-
-# Ensure CI can update this submodule; used only for Arch packaging and not required for builds.

benchmarks/bm25_diskann_baselines/README.md

@@ -11,13 +11,13 @@ aws s3 sync s3://powerrag-diskann-rpj-wiki-20250824-224037-194d640c/diskann_rpj_
 DiskANN (NQ queries, search-only)
 - Command: `uv run --script benchmarks/bm25_diskann_baselines/run_diskann.py`
 - Settings: `recompute_embeddings=False`, embeddings precomputed (excluded from timing), batching off, caching off (`cache_mechanism=2`, `num_nodes_to_cache=0`)
-- Result: avg 0.019339 s/query, QPS 51.71 (p50 ~0.018936 s, p95 ~0.023573 s)
+- Result: avg 0.011093 s/query, QPS 90.15 (p50 0.010731 s, p95 0.015000 s)
 
 BM25
 - Command: `uv run --script benchmarks/bm25_diskann_baselines/run_bm25.py`
 - Settings: `k=10`, `k1=0.9`, `b=0.4`, queries=100
-- Result: avg 0.026976 s/query, QPS 37.07 (p50 0.024729 s, p90 0.042158 s, p95 0.047099 s, p99 0.053520 s)
+- Result: avg 0.028589 s/query, QPS 34.97 (p50 0.026060 s, p90 0.043695 s, p95 0.053260 s, p99 0.055257 s)
 
 Notes
 - DiskANN measures search-only latency on real NQ queries (embeddings computed beforehand and excluded from timing).
-- Use `benchmarks/bm25_diskann_baselines/run_diskann.py` for DiskANN; `benchmarks/run_bm25.py` for BM25.
+- Use `benchmarks/bm25_diskann_baselines/run_diskann.py` for DiskANN; `benchmarks/bm25_diskann_baselines/run_bm25.py` for BM25.