Agentic distributed query systems: architecture for complex multi-source enterprise queries

Short summary

A detailed engineering guide on building agentic distributed query systems that combine LLM reasoning with traditional distributed compute infrastructure. It covers query decomposition, parallel agent execution, federated data access, state management, and result synthesis. The architecture uses a plan-execute-synthesize model where an orchestrator agent decomposes complex natural-language queries into sub-tasks dispatched to specialist agents connected via MCP.

• •Agentic query systems combine LLM reasoning with distributed compute to handle complex multi-source enterprise queries
• •Architecture uses plan-execute-synthesize model with orchestrator and specialist agents connected via MCP
• •Covers decomposition, parallel execution, federated access, state management, and failure handling

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