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Releases: milvus-io/milvus-model

v0.2.3

28 May 07:45
d812c9a
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What's Changed

  • feat: Add CohereEmbeddingFunction. by @wxywb in #23
  • fix: Convert cohere embedding to np.float32 by @wxywb in #24
  • Remove the specific version of protobuf.
  • Change output of BM25EmbeddingFunction to np.float32.

Full Changelog: v0.2.2...v0.2.3

v0.2.2

17 May 12:34
3ee078f
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What's Changed

  • Use onnx as default embedding function.
  • Decouple model dependencies, installing them as needed.

Full Changelog: v0.2.1...v0.2.2

v0.2.1

11 May 12:09
9a746d6
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What's Changed

  • Fix BGERerankFunction call return type. by @muazhari in #14
  • feat: add JinaAI embedding and reranker models by @JoanFM in #16
  • Bugfixes by @wxywb in #18
    • Fix loading bm25 config on Windows.
    • Convert sparse model output to csr_array explicitly.
    • Upgrade protobuf version to 3.20.2.
  • feat: Change BGE M3 to use float32 as return by default. by @wxywb in #19

New Contributors

Full Changelog: v0.2.0...v0.2.1

PyMilvus Model library v0.2.0 Release Notes

01 Apr 15:19
a8c81c5
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What's Changed

  • Add several rerankers to improve search accuracy and relevance.
    BGERerankFunction
    CohereRerankFunction
    CrossEncoderRerankFunction
    VoyageRerankFunction
  • BGEM3EmbeddingFunction now can load the local model from folder path.
  • Optimize SpladeEmbeddingFunction implementation and reduce memory footprint when inferencing.

Full Changelog: v0.1.0...0.2.0