Observability

TL;DR RAG systems require specialized observability platforms to monitor retrieval quality, generation accuracy, and production performance. This guide covers the five leading platforms in 2026: Maxim AI (full-stack platform with simulation, evaluation, and observability), Langfuse (open-source observability with prompt management), LangSmith (LangChain-focused tracing), Arize (enterprise ML monitoring with LLM

TL;DR: LLM hallucinations occur when AI models generate factually incorrect or unsupported content with high confidence. In production, these failures erode user trust and cause operational issues. This guide covers the types of hallucinations, why they happen, and proven monitoring techniques including LLM-as-a-judge evaluation, semantic similarity scoring, and production

TL;DR Multi-agent systems present unique debugging challenges that traditional monitoring tools cannot address. This guide examines five leading AI observability platforms built for multi-agent debugging: Maxim AI (end-to-end simulation, evaluation, and observability platform), Arize (enterprise ML observability with OTEL-based tracing), Langfuse (open-source LLM engineering platform), Galileo (evaluation-first platform with

TL;DR Autonomous agents fail through silent reasoning errors that traditional monitoring cannot detect. Maxim AI offers real-time trace replay and automated root cause analysis. Langfuse provides open-source tracing. LangSmith delivers LangChain debugging. Datadog unifies infrastructure monitoring. Weights & Biases Weave specializes in multi-agent workflows. Table of Contents * Why Agent

TL;DR AI agents often fail in production due to silent quality degradation, unexpected tool usage, and reasoning errors that evade traditional monitoring. Five leading platforms address these challenges: Maxim AI provides end-to-end agent observability with simulation, evaluation, and real-time debugging. Langfuse offers open-source tracing with comprehensive session tracking. Arize

TL;DR LLM observability platforms have evolved from optional monitoring tools to essential infrastructure for production AI applications. This guide examines the five leading platforms in 2026: Maxim AI offers end-to-end observability integrated with simulation, evaluation, and experimentation for cross-functional teams. Langfuse provides open-source flexibility with detailed tracing and prompt