Show Dev: I built an AI research workbench with React, FastAPI, and multi-agent LLMs

📰 Dev.to · Flynn L

Learn how to build an AI research workbench with React, FastAPI, and multi-agent LLMs to create interactive knowledge graphs

advanced Published 3 Mar 2026
Action Steps
  1. Build a React frontend to handle user input and display interactive knowledge graphs
  2. Run a FastAPI backend to manage data storage and retrieval
  3. Configure multi-agent LLMs to generate knowledge graphs from research questions
  4. Test the integration of the frontend and backend using example research questions
  5. Apply the workbench to a real-world research project to evaluate its effectiveness
Who Needs to Know This

Data scientists, AI researchers, and software engineers can benefit from this workbench to streamline their research and collaboration processes

Key Insight

💡 Combining React, FastAPI, and multi-agent LLMs can create a powerful AI research workbench for building interactive knowledge graphs

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🤖 Build an AI research workbench with React, FastAPI, and multi-agent LLMs to revolutionize your research workflow! 💡

Key Takeaways

Learn how to build an AI research workbench with React, FastAPI, and multi-agent LLMs to create interactive knowledge graphs

Full Article

I built Arbor, a tool that takes research questions and builds interactive knowledge graphs from...
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