Anush008 / fastembed-rs

Library for generating vector embeddings, reranking in Rust
https://docs.rs/fastembed
Apache License 2.0
264 stars 36 forks source link

feat: ML E5 large + ParaphraseMLBaseV2 models #49

Closed Barney241 closed 6 months ago

Barney241 commented 6 months ago

This PR adds

Summary by CodeRabbit

coderabbitai[bot] commented 6 months ago

Walkthrough

The recent updates involve the addition of two new models to enhance functionalities like clustering and semantic search. The ParaphraseMLMpnetBaseV2 and MultilingualE5Large models have been integrated, with the latter receiving fixes related to its size. Additionally, improvements were made in the model retrieval process, specifically handling .onnx_data files and refining error management.

Changes

File(s) Change Summary
README.md Added two new models: sentence-transformers/paraphrase-multilingual-mpnet-base-v2 and intfloat/multilingual-e5-large.
src/.../lib.rs Introduced ParaphraseMLMpnetBaseV2 model for clustering and semantic search tasks. Fixed size issues and reinstated MultilingualE5Large model. Updated model retrieval logic and enhanced error handling.

Recent Review Details **Configuration used: CodeRabbit UI**
Commits Files that changed from the base of the PR and between 1dc729dfa51da90434580830df4e3eab14f952b4 and 9d4cdd791b7c21fcb4508b0fc097c0ca113b8de2.
Files selected for processing (2) * README.md (1 hunks) * src/lib.rs (5 hunks)
Additional comments not posted (3)
README.md (1)
`31-35`: The addition of new models to the README is clear and well-documented.
src/lib.rs (2)
`94-103`: The addition of new models to the `EmbeddingModel` enum is correctly implemented. --- `482-495`: > :memo: **NOTE** > This review was outside the diff hunks and was mapped to the diff hunk with the greatest overlap. Original lines [485-516] The addition of new model information in the `list_supported_models` function is accurate and well-documented.
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github-actions[bot] commented 6 months ago

:tada: This PR is included in version 3.4.1 :tada:

The release is available on:

Your semantic-release bot :package::rocket: