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In this example, we create a document class with both textual and numeric data. Then, we initialize an Epsilla-backed document index and use it to index our documents. Finally, we perform a search query.
Release Note
This release contains 1 new feature, 3 bug fixes and 2 documentation improvements.
馃啎 Features
Add Epsilla connector (#1835)
We have integrated Epsilla into DocArray.
Here's a simple example of how to use it:
In this example, we create a document class with both textual and numeric data. Then, we initialize an Epsilla-backed document index and use it to index our documents. Finally, we perform a search query.
馃悶 Bug Fixes
Fixed type hints error in Python 3.12 (#1840)
DocArray type-hinting is now available for Python 3.12.
Fix issue serializing and deserializing complex schemas (#1836)
There was an issue when serializing and deserializing
protobuf
documents with nested documents in dictionaries and other complex structures.Fix storage issue in TorchTensor class (#1833)
There was a bug when deep-copying a
TorchTensor
object itsdtype
was notfloat32
. This has now been fixed.馃摋 Documentation Improvements
馃 Contributors
We would like to thank all contributors to this release:
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