Deep Research Agent flow
A multi-agent workflow for iterative research that overcomes single LLM limitations (hallucination, shallow depth) through human-like iterative refinement.
- Core inspiration: Anthropic multi-agent research system
- Key mechanism: Multiple specialized agents collaboratively refine queries and validate results
- Implementation: Built using Flowise for workflow orchestration
- Overcomes: Hallucinations, insufficient depth in single LLM queries
- Resources:
- Video guide: Leon van Zyl’s Deep Research Agent Flow
- GitHub repo: Flowise Masterclass 2025 - Deep Research Agent Flow
- Flowise Cloud: Register for Flowise Cloud
- Creator: Leon van Zyl