xiaoju c3f3b822f1 feat: embedding semantic search + MMR for explore ...

- Use CF Workers AI bge-base-en-v1.5 for embeddings
- Deploy stores capability embedding in KV
- Query uses cosine similarity (find) and MMR (explore)
- Query embedding cached in KV (1h TTL)
- Fallback to string matching for capabilities without embeddings
- Mock embedding service for unit tests

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..

query.test.ts

feat: embedding semantic search + MMR for explore

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s01-deploy.test.ts

feat: embedding semantic search + MMR for explore

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s02-invoke-hit.test.ts

feat: embedding semantic search + MMR for explore

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s03-invoke-miss.test.ts

feat: embedding semantic search + MMR for explore

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s04-eviction.test.ts

feat: embedding semantic search + MMR for explore

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s05-not-found.test.ts

feat: embedding semantic search + MMR for explore

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s06-remove.test.ts

feat: embedding semantic search + MMR for explore

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s07-list.test.ts

feat: embedding semantic search + MMR for explore

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s08-health.test.ts

feat: embedding semantic search + MMR for explore

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s09-no-token.test.ts

feat: embedding semantic search + MMR for explore

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s11-concurrent-page-in.test.ts

feat: embedding semantic search + MMR for explore

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s12-page-rate-limit.test.ts

feat: embedding semantic search + MMR for explore

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s13-deploy-cooldown.test.ts

feat: embedding semantic search + MMR for explore

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setup.ts

feat: embedding semantic search + MMR for explore

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