Throttle Gemini RAG embedding calls

[rktclgh]

Summary

• serialize Gemini embedding calls with a configurable minimum request interval
• retry 429/5xx embedding failures with Retry-After aware exponential backoff
• expose miniserver/app config knobs for provider quota tuning

Why

After PR #71 deployed, comprehensive RAG reload no longer hit the removed endpoint, but UserData indexing failed once Gemini returned 429 Too Many Requests. This keeps the reload and reservation-triggered user-data reindex path from dropping embeddings under burst quota.

Verification

• ./gradlew test --tests com.fairing.fairplay.ai.rag.service.EmbeddingServiceTest --no-daemon
• ./gradlew test --no-daemon

Review notes

• CodeRabbit/Gemini rate limits are non-blocking per project policy; actionable findings will still be handled.

[gemini-code-assist]

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ℹ️ Review info

⚙️ Run configuration

Configuration used: Path: .coderabbit.yaml

Review profile: CHILL

Plan: Pro

Run ID: 15382fe6-3428-4f84-9946-dc48e5427bfe

📥 Commits

Reviewing files that changed from the base of the PR and between cadd961 and 54a3a8e.

📒 Files selected for processing (4)

• deploy/miniserver.env.example
• src/main/java/com/fairing/fairplay/ai/rag/service/EmbeddingService.java
• src/main/resources/application.yml
• src/test/java/com/fairing/fairplay/ai/rag/service/EmbeddingServiceTest.java

✨ Finishing Touches

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Commit unit tests in branch issue/be-rag-embedding-rate-limit

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