# Benchmarking scripts This directory contains benchmarking scripts and reproducing steps. ## COHERE experiments ### Getting COHERE Data Please download the COHERE 10M dataset to cohere_large_10m as follows: ```bash ... ... neighbors.parquet shuffle_train-00-of-10.parquet shuffle_train-01-of-10.parquet shuffle_train-02-of-10.parquet shuffle_train-03-of-10.parquet shuffle_train-04-of-10.parquet shuffle_train-05-of-10.parquet shuffle_train-06-of-10.parquet shuffle_train-07-of-10.parquet shuffle_train-08-of-10.parquet shuffle_train-09-of-10.parquet scalar_labels.parquet test.parquet ``` For convenience, we prepared a docker image with cohere bench datasets: registry.cn-hongkong.cr.aliyuncs.com/zvec/cohere-bench-data. You can run a container as follows: ```bash docker run -it --net=host -d -e DEBUG_MODE=true --user root --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v /home/zvec/:/home/zvec/ -w /home/zvec --name=cohere_bench zvec-registry.cn-hongkong.cr.aliyuncs.com/zvec/cohere-bench-data:0.0.1 bash docker exec -it cohere_bench bash ``` The datasets locate at /tmp/cohere/ ### Preparing Environment Clone code and init: ```bash $ git clone git@github.com:alibaba/zvec.git $ cd zvec $ git submodule update --init ``` Build source code: ``` $ cd /home/zvec/workspace/zvec $ mkdir build $ cd build $ cmake -DENABLE_SKYLAKE=ON -DCMAKE_BUILD_TYPE=Release .. ``` ### Converting Dataset Export vector data using python script: ```bash $ mkdir 10m.output $ python3 convert_cohere_parquet.py ``` Convert vector data to binary formatted file. ```bash /home/zvec/workspace/zvec/bin/txt2vecs -input=cohere_train_vector_10m.txt --output=cohere_train_vector_10m.zvec.vecs --dimension=768 ``` We've also prepared preprocessed binary formatted files, which can be found in the container below: ```bash root@iZj6caifjouj5yu8xgsiysZ:/home/zvec# ls -al /tmp/cohere/*zvec /tmp/cohere/cohere_large_10m_zvec: total 30204572 drwxr-xr-x 2 root root 4096 Feb 5 13:12 . drwxr-xr-x 6 root root 4096 Feb 6 03:38 .. -rw-r--r-- 1 root root 8664837 Feb 5 13:06 cohere_test_vector_10m.1000.new.txt -rw-r--r-- 1 root root 30920004295 Feb 5 13:04 cohere_train_vector_10m.new.zvec.vecs -rw-r--r-- 1 root root 792835 Feb 5 13:05 neighbors.txt /tmp/cohere/cohere_medium_1m_zvec: total 3028688 drwxr-xr-x 2 root root 4096 Feb 5 13:14 . drwxr-xr-x 6 root root 4096 Feb 6 03:38 .. -rw-r--r-- 1 root root 8661108 Feb 5 13:07 cohere_test_vector_1m.1000.new.txt -rw-r--r-- 1 root root 3092004295 Feb 5 13:08 cohere_train_vector_1m.new.zvec.vecs -rw-r--r-- 1 root root 692969 Feb 5 13:08 neighbors.txt ``` ### Preparing Bench Config Prepare Build Config ```yaml BuilderCommon: BuilderClass: HnswStreamer BuildFile: /tmp/cohere/cohere_large_10m_zvec/cohere_train_vector_10m.zvec.vecs NeedTrain: true TrainFile: /tmp/cohere/cohere_large_10m_zvec/cohere_train_vector_10m.zvec.vecs DumpPath: /home/zvec/bench/config/cohere_train_vector_10m.dump.index IndexPath: /home/zvec/bench/config/cohere_train_vector_10m.index ConverterName: CosineInt8Converter MetricName: Cosine ThreadCount: 16 BuilderParams: proxima.general.builder.thread_count: !!int 16 proxima.hnsw.builder.thread_count: !!int 16 ``` Prepare Search Config ```yaml SearcherCommon: SearcherClass: HnswStreamer IndexPath: /home/zvec/bench/config/cohere_train_vector_10m.index TopK: 1,10,50,100 QueryFile: /tmp/cohere/cohere_large_10m_zvec/cohere_test_vector_1000.new.txt QueryType: float QueryFirstSep: ";" QuerySecondSep: " " GroundTruthFile: /tmp/cohere/cohere_large_10m_zvec/neighbors.txt RecallThreadCount: 1 BenchThreadCount: 16 BenchIterCount: 1000000000 CompareById: true SearcherParams: proxima.hnsw.streamer.ef: !!int 250 ``` ### Building Index Conduct Build ```bash $ /home/zvec/workspace/zvec/build/bin/local_build_original ./build.yaml ``` ### Performing Bench Conduct Recall ```bash $ /home/zvec/workspace/zvec/build/bin/recall_original ./search.yaml ``` Conduct Bench ```bash $ /home/zvec/workspace/zvec/build/bin/bench_original ./search.yaml ```