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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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

Details

Category

Analysis

Use Cases

Agentic RAG designTool orchestrationMulti-step reasoning

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claude-sonnet-4-20250514gpt-4o
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