Design an agentic RAG system with tool use and reasoning capabilities. ## Use Case {{use_case}} ## Available Tools {{available_tools}} ## Reasoning Requirements {{reasoning_requirements}} Design the architecture: **Planning Layer** - Query analysis and task decomposition - Tool selection strategy - Multi-step planning **Execution Layer** - Tool invocation orchestration - Intermediate result handling - Error recovery and replanning **Memory Layer** - Short-term working memory - Long-term knowledge integration - Context carryover **Synthesis Layer** - Result aggregation - Answer construction - Citation generation Provide: - System architecture diagram - State machine definition - Implementation code structure - Evaluation methodology
Agentic RAG Architecture Design
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Design an agentic RAG architecture with planning, execution, memory, and synthesis layers enabling multi-step reasoning and tool use.
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AnalysisUse Cases
Agentic RAG designTool orchestrationMulti-step reasoning
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claude-sonnet-4-20250514gpt-4o
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