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MockEvalio's RAG Pipeline Broke Hours After Launch Due to Embedding Endpoint Failure

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On March 10, a retrieval-augmented generation (RAG) pipeline for MockEvalio was deployed, capable of parsing job descriptions and generating interview questions using chunked embeddings stored in a pgvector database. Just hours after launch, the embedding step failed when Groq's nomic-embed-text-v1.5 endpoint returned a 404 error at 22:57, halting the pipeline. The fix involved swapping Groq's embedding endpoint for OpenAI's text-embedding-3-small in a 17-line code change, restoring functionality while preserving the same 768-dimension output. The incident also revealed a silent failure bug in the original code, where a missing API key would return zero-vectors without raising an error, potentially corrupting similarity searches undetected. Separately, a self-hosted faster-whisper transcription service was added the same evening as the default option, replacing cloud APIs, with the stated reason being cost reduction and elimination of external API calls.

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