Core

python ./demo/retrieval_demo.py The main entrypoint.

python ./demo/generation_demo.py

python ./demo/evaluation_demo.py

Script

python ./demo/generation_experiment.py {diff_k, diff_dp} to see how different k and different dp sizes affect the generation time and ttft (if not batch mode). See #8, result figures in #9 and #15.

python ./demo/validate_equivalence.py {sglang, vllm} to generate answers and evaluate based on the prompts and retrieved passages in scaling_out/retrieved_results/facebook/contriever-msmarco/fineweb_edu_1m_datastore-256_chunk_size-1of1_shards/top_3/0/nq_open_retrieved_results.jsonl. See #6 and #10.

python ./demo/test_serve.py to test the serve demo. You should open a server by python ./demo/retrieval_demo.py serve first. And currently the test_serve:main is sending requests in a pattern to show the breakdowns of different index types. We might change it in the future to test more scenarios. See #7 and #8.

Install DiskANN

First build the project as DiskANN/README.md. Use CMake to build the project, and the result will be in ./DiskANN/build/.

pip install -e .

Restrict the RAM

sudo mkdir -p /sys/fs/cgroup/memory/16gb
sudo mkdir -p /sys/fs/cgroup/memory/32gb

sudo sh -c 'echo 16000000000 > /sys/fs/cgroup/memory/16gb/memory.limit_in_bytes'
sudo sh -c 'echo 16000000000 > /sys/fs/cgroup/memory/16gb/memory.memsw.limit_in_bytes'
sudo sh -c 'echo 32000000000 > /sys/fs/cgroup/memory/32gb/memory.limit_in_bytes'
sudo sh -c 'echo 32000000000 > /sys/fs/cgroup/memory/32gb/memory.memsw.limit_in_bytes'

sudo sh -c 'echo $$ > /sys/fs/cgroup/memory/32gb/cgroup.procs && /home/ubuntu/miniconda3/envs/scaling/bin/python demo/retrieval_demo.py --skip-passages --skip-embeddings --domain rpj_wiki --search-only --load-indices ivf_disk'