At a Glance Why Traditional Automation Fails AI Systems — and What to Do Instead Pass/fail is not enough when your system can hallucinate, drift, or refuse incorrectly. The core shift: AI systems require evaluation across multiple quality dimensions — relevance, faithfulness, hallucination risk, toxicity, and retrieval grounding — not a single pass/fail assertion. Golden… Continue reading Agentic Testing and QA: An AI Framework for Chatbots & RAG
Tag: RAG
Beyond RAG: How Agentic Memory Solves Context Rot in AI Agents
Key Takeaways Agentic Memory: The Persistence Layer Beyond RAG Stop rebuilding context every session. Start writing it once and remembering it forever. Silent Semantic Errors Dominate Multi-Agent Failures: Eliminate the silent semantic drift behind 75.17% of multi-agent failures by anchoring agents to persistent state. A-MEM Doubles Multi-Hop Reasoning Performance:Research from Xu et al. at NeurIPS… Continue reading Beyond RAG: How Agentic Memory Solves Context Rot in AI Agents