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Fix remote vector model embedding requests#220

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codedogQBY wants to merge 1 commit into
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feat/remote-vector-model-platform-fetch
Open

Fix remote vector model embedding requests#220
codedogQBY wants to merge 1 commit into
mainfrom
feat/remote-vector-model-platform-fetch

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@codedogQBY
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Summary

  • Route remote embedding API requests through the platform fetch layer so desktop uses Tauri HTTP instead of WebView fetch.
  • Share remote embedding request parsing/dimension detection across settings, onboarding, and vectorization.
  • Keep OpenAI-compatible and Ollama embedding response handling in one core helper.

Fixes #217

Test plan

  • pnpm exec biome check packages/core/src/rag/embedding-request.ts packages/core/src/rag/index.ts packages/core/src/rag/vectorize-trigger.ts packages/core/src/rag/embedding-service.ts packages/app/src/components/settings/VectorModelSettings.tsx packages/app/src/components/onboarding/steps/EmbeddingPage.tsx packages/app-expo/src/components/onboarding/steps/EmbeddingPage.tsx
  • pnpm --filter @readany/core exec tsc --noEmit
  • pnpm --filter app exec tsc --noEmit
  • pnpm --filter @readany/app-expo exec tsc --noEmit
  • pnpm --filter @readany/core test

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[Bug] 无法配置向量模型

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