feat(new): Add new Qwen3 and Mixbread rerankers #506
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Pull Request Overview
This PR adds support for two new neural reranking models (Qwen3 and Mixbread) to the Vectara platform, with Qwen3 becoming the new default reranker for SaaS deployments.
- Introduces Qwen3 and Mixbread rerankers as new options for improving search result relevance
- Updates documentation to reflect the new default reranker and provide guidance on model selection
- Adds comprehensive examples and best practices for using the new reranking models
Reviewed Changes
Copilot reviewed 4 out of 4 changed files in this pull request and generated 1 comment.
| File | Description |
|---|---|
| www/docs/release-notes.mdx | Adds release notes announcing the new Qwen3 and Mixbread rerankers |
| www/docs/learn/vectara-multi-lingual-reranker.md | Updates content to reflect new reranker options and removes outdated superlatives |
| www/docs/learn/knee-reranking.md | Adds example showing knee reranking compatibility with new Qwen3 reranker |
| www/docs/api-reference/search-apis/reranking.md | Restructures reranker documentation with comprehensive table and adds usage examples for new models |
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| Vectara currently provides the following rerankers: | ||
| Vectara offers multiple reranking models that enable you to choose the best one | ||
| that for your data and use case. You can evaluate different models |
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There's a grammatical error in line 25-26. 'the best one that for your data' should be 'the best one for your data' - remove the word 'that'.
Suggested change
| that for your data and use case. You can evaluate different models | |
| for your data and use case. You can evaluate different models |
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Adds content for the new Qwen3 and Mixbread rerankers.