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Backend Tests

The Smart Document Router is an open source Document Understanding and Data Extraction tool. It is like LLamaCloud, but for Enterprises using ERP systems.

  • It ingests unstructured docs from faxes, email, and ERPs.
  • It selects streams of docs that can be processed autonomously with LLMs and NLP - reducing the need for time-consuming, expensive manual workflows.

The Document Router is designed to work with a human-in-the-loop and can processes financial data correctly 'on the nose'. (We are not doing RAG!)

Tech stack

  • NextJS, NextAuth, MaterialUI, TailwindCSS
  • FastAPI
  • MongoDB
  • Pydantic
  • LiteLLM
  • OpenAI, Anthropic, Gemini, Groq/DeepSeek...

PyData Boston DocRouter Slides (Feb '24) have more details about tech stack, and how Cursor AI was used to build the DocRouter.

User Experience

Smart Document Router Smart Document Router

Example Deployment

Smart Document Router

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  • TypeScript 48.7%
  • Python 44.3%
  • Jupyter Notebook 2.9%
  • JavaScript 2.8%
  • CSS 0.8%
  • Makefile 0.2%
  • Other 0.3%