Is it Safe? Creating Reliable AI Agents with Progress Agentic RAG

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Progress Agentic RAG is a no-code SaaS platform that lets you build a RAG-enabled AI agent in minutes by loading documents and web resources into a knowledge box. The post walks through creating a food-safety agent as a case study, then focuses heavily on validation: involving subject matter experts, using citation links to trace errors back to source documents, tuning relevance with system prompts and query prepending, and pruning unused resources to reduce maintenance burden. Key takeaways include keeping agents narrowly scoped rather than building universal agents, using the Show Reasoning option to identify missing resources, and treating ongoing maintenance as a real cost.

12m read timeFrom telerik.com
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Table of contents
Creating and Evaluating an AgentA Case Study AgentFood SafetyIncorporating Validation with ExpertsValidating for Accuracy and ExplainabilityValidating for CompletenessValidating for RelevanceEliminating the Unnecessary, Keeping the ValuableA ‘New Hire’
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