Posts tagged with "Rag"

Learn how to build production-grade knowledge base connectors and implement RAG-based agentic retrieval for voice AI agents — with async syncing, SSRF protection, and observability.

Hallucination detection for voice AI measures whether a voice agent's spoken answers stay grounded in its knowledge base instead of inventing facts. Here is how RAG grounding checks, factuality evals, and Cekura catch hallucinations before production.

LLM as a judge uses a large language model to score AI outputs at scale. Learn how it works, its pros, cons, and best practices for voice and chat agents.