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Adding semantic search workload that includes vector and bm25 search #342

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Description

Adding workload for semantic search that is based on customized trec-covid dataset and includes vector, text and integer fields. That allows to run queries like neural search and hybrid query where neural is one of sub queries.

Modified version of trec-covid dataset has ~1M documents, 6 copies of each document from original dataset.

Issues Resolved

#341

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@VijayanB can I get initial feedback for this PR while we're waiting for feedback on opensearch-project/opensearch-benchmark#591 from other folks?

@martin-gaievski martin-gaievski force-pushed the adding_vectordataset_for_semantic_search branch 2 times, most recently from 6cb13b7 to 42ddc44 Compare July 30, 2024 18:58
@martin-gaievski martin-gaievski force-pushed the adding_vectordataset_for_semantic_search branch from 42ddc44 to 79bc1f3 Compare September 9, 2024 23:02
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martin-gaievski commented Oct 23, 2024

I'm going to restore works for this PR and I want to summarize the feedback I got last time:

I put together main points from this list in a private branch: https://github.com/martin-gaievski/opensearch-benchmark-workloads/tree/adding_vectordataset_for_semantic_search/treccovid_semantic_search

@VijayanB please let me know if I've missed any important point from your comments

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