cesnimda
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First activation slice of semantic search (docs/discovery/05+06): - EmbeddingBackfillWorker: fills Email.Embedding in small batches (32, 2s pause, newest first; subject+snippet, truncated) so interactive load is never starved. Exits immediately when the embedding provider is unavailable — AI-off deployments are untouched, Ollama hiccups back off instead of crashing the host. - compose: optional 'ollama' service under the 'ai' profile (persistent model volume, commented GPU passthrough for the RTX 3080); api gets Ai__OllamaBaseUrl pointing at it. - LiveDb test proves the worker persists 768-dim vectors against real pgvector (deterministic fake provider); LiveDb classes serialised into one xUnit collection (concurrent MigrateAsync on a fresh DB races — found while testing). Verified against REAL Ollama locally: pulled nomic-embed-text in a container and confirmed the /api/embeddings contract the provider uses returns 768-dim vectors. Full suite 55 green (4 LiveDb vs real pgvector); format clean. Next slice: hybrid RRF ranking in SearchService once embeddings exist. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>