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feat: add Jina as embedding provider for code indexing
- Add Jina to EmbedderProvider type and model profiles
- Implement JinaEmbedder class with multi-vector embeddings support
- Configure jina-embeddings-v4 model with code.query downstream task
- Add UI components for Jina provider selection and API key input
- Include proper error handling and rate limiting
- Add localization support for Jina-related messages
Copy file name to clipboardExpand all lines: src/i18n/locales/en/embeddings.json
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"openAiCompatibleConfigMissing": "OpenAI Compatible configuration missing for embedder creation",
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"geminiConfigMissing": "Gemini configuration missing for embedder creation",
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"mistralConfigMissing": "Mistral configuration missing for embedder creation",
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"jinaConfigMissing": "Jina configuration missing for embedder creation",
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"invalidEmbedderType": "Invalid embedder type configured: {{embedderProvider}}",
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"vectorDimensionNotDeterminedOpenAiCompatible": "Could not determine vector dimension for model '{{modelId}}' with provider '{{provider}}'. Please ensure the 'Embedding Dimension' is correctly set in the OpenAI-Compatible provider settings.",
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"vectorDimensionNotDetermined": "Could not determine vector dimension for model '{{modelId}}' with provider '{{provider}}'. Check model profiles or configuration.",
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