KrishiBot: How I Built a Multi-Agent AI Tutor — and Why I Kept Adding Layers
📰 Medium · LLM
Learn how to build a multi-agent AI tutor like KrishiBot by incrementally adding layers of complexity to a simple LangGraph pipeline
Action Steps
- Build a simple LangGraph pipeline to establish a foundation for your AI tutor
- Integrate RAG-grounded agents to enhance the system's capabilities
- Collaborate with CrewAI to add multi-agent functionality
- Test and refine your system by adding layers of complexity incrementally
- Evaluate the performance of your AI tutor using relevant metrics
Who Needs to Know This
AI engineers and researchers can benefit from this story of building a complex AI system, and product managers can learn from the iterative development process
Key Insight
💡 Incremental complexity is key to building a successful multi-agent AI system
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🤖 Build a multi-agent AI tutor like KrishiBot by adding layers of complexity to a simple pipeline! #AI #LLM
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