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| author | Shengyuan Chen <91341745+chensyCN@users.noreply.github.com> | 2025-12-19 13:58:20 +0800 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2025-12-19 13:58:20 +0800 |
| commit | 0fdea97cbd4bdcfbd91d1c8724e22246aa5e43c0 (patch) | |
| tree | 38ce6779abc74c6de9157569ce690b4e2a4d9ae7 | |
| parent | 7a4ad471c9026c7882504b1c8b730045b4bb74af (diff) | |
Retrieval option flag
Comment out the use_vectorized_retrieval option in the readme.
| -rw-r--r-- | readme.md | 4 |
1 files changed, 2 insertions, 2 deletions
@@ -93,8 +93,8 @@ python run.py \ --embedding_model ${EMBEDDING_MODEL} \ --dataset_name ${DATASET_NAME} \ --llm_model ${LLM_MODEL} \ - --max_workers ${MAX_WORKERS} - --use_vectorized_retrieval # optional, use vectorized matrix-based retrieval for GPU acceleration if Strong GPU is available, otherwise use BFS iteration. + --max_workers ${MAX_WORKERS} + # --use_vectorized_retrieval # optional, use vectorized matrix-based retrieval for GPU acceleration if Strong GPU is available, otherwise use BFS iteration. ``` ## 🎯 **Performance** |
