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Added support for Qdrant search parameters #12662

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@JabariHolder JabariHolder commented Apr 8, 2024

Description

Will commit tests soon

To simply pass search params to the Qdrant client during single search and batch search requests.
This feature is added specifically to enable quantisation support https://qdrant.tech/articles/binary-quantization

New Package?

  • Yes
  • No

Version Bump?

Did I bump the version in the pyproject.toml file of the package I am updating? (Except for the llama-index-core package)

  • Yes
  • No

Type of Change

Please delete options that are not relevant.

  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to not work as expected)
  • This change requires a documentation update

How Has This Been Tested?

Please describe the tests that you ran to verify your changes. Provide instructions so we can reproduce. Please also list any relevant details for your test configuration

  • Added new unit/integration tests
  • Added new notebook (that tests end-to-end)
  • I stared at the code and made sure it makes sense

Suggested Checklist:

  • I have performed a self-review of my own code
  • I have commented my code, particularly in hard-to-understand areas
  • I have made corresponding changes to the documentation
  • I have added Google Colab support for the newly added notebooks.
  • My changes generate no new warnings
  • I have added tests that prove my fix is effective or that my feature works
  • New and existing unit tests pass locally with my changes
  • I ran make format; make lint to appease the lint gods

@dosubot dosubot bot added the size:S This PR changes 10-29 lines, ignoring generated files. label Apr 8, 2024
@logan-markewich
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I feel like quantization should be more explicitly supported, but this is a good first step too

@@ -608,6 +608,9 @@ async def aquery(
# build metadata filters
query_filter = cast(Filter, self._build_query_filter(query))

# NOTE: users can pass in search_params
search_params = kwargs.get("search_params")
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Should we do the same for the sync query?

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