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TL;DR: Voice agent evaluation requires assessing speech recognition accuracy, response latency, conversation flow quality, interruption handling, and goal completion across multi-turn dialogues. Effective evaluation demands visibility into ASR/TTS quality, tool calls, LLM reasoning, and real-time performance metrics. This guide compares the top five voice evaluation platforms:

TL;DR: RAG evaluation requires assessing both retrieval (context relevance, precision, recall) and generation (faithfulness, answer quality, hallucination detection). RAG observability demands visibility into retrievals, tool calls, LLM generations, and multi-turn sessions with robust evaluation and monitoring. This guide compares the top five platforms: Maxim AI, LangSmith, Arize Phoenix,