DeepCritical / README.md
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metadata
title: The DETERMINATOR
emoji: πŸ‰
colorFrom: red
colorTo: yellow
sdk: gradio
sdk_version: 6.0.1
python_version: '3.11'
app_file: src/app.py
hf_oauth: true
hf_oauth_expiration_minutes: 480
hf_oauth_scopes:
  - inference-api
pinned: true
license: mit
tags:
  - mcp-in-action-track-enterprise
  - mcp-hackathon
  - deep-research
  - biomedical-ai
  - pydantic-ai
  - llamaindex
  - modal
  - building-mcp-track-enterprise
  - building-mcp-track-consumer
  - mcp-in-action-track-enterprise
  - mcp-in-action-track-consumer
  - building-mcp-track-modal
  - building-mcp-track-blaxel
  - building-mcp-track-llama-index
  - building-mcp-track-HUGGINGFACE

You are reading the Gradio Demo README!

  • πŸ“š Documentation: See our technical documentation for detailed information
  • πŸ“– Complete README: Check out the full README for setup, configuration, and contribution guidelines
  • πŸ† Hackathon Submission: Keep reading below for more information about our MCP Hackathon submission

GitHub Documentation Demo codecov Join us on Discord

The DETERMINATOR

About

The DETERMINATOR is a powerful generalist deep research agent system that stops at nothing until finding precise answers to complex questions. It uses iterative search-and-judge loops to comprehensively investigate any research question from any domain.

Key Features:

  • Generalist: Handles queries from any domain (medical, technical, business, scientific, etc.)
  • Automatic Medical Detection: Automatically determines if medical knowledge sources (PubMed, ClinicalTrials.gov) are needed
  • Multi-Source Search: Web search, PubMed, ClinicalTrials.gov, Europe PMC, RAG
  • Stops at Nothing: Only stops at configured limits (budget, time, iterations), otherwise continues until finding precise answers
  • Evidence Synthesis: Comprehensive reports with proper citations

Important: The DETERMINATOR is a research tool that synthesizes evidence. It cannot provide medical advice or answer medical questions directly.

For this hackathon we're proposing a simple yet powerful Deep Research Agent that iteratively looks for the answer until it finds it using general purpose websearch and special purpose retrievers for technical retrievers.

IF YOU ARE A JUDGE

This project was produced with passion by a group of volunteers please check out or documentation and readmes and please do keep reading below for our story

  • πŸ“š Documentation: See our technical documentation for detailed information
  • πŸ“– Complete README: Check out the full README for setup, configuration, and contribution guidelines
  • πŸ† Hackathon Submission: Keep reading below for more information about our MCP Hackathon submission

Deep Critical In the Medial

  • Social Medial Posts about Deep Critical : - [X] - [LinkedIn]

Important information

  • readme: configure, deploy , contribute and learn more here.
  • docs: want to know how all this works ? read our detailed technical documentation here.
  • demo: Try our demo on huggingface
  • [team](### Team): Join us , or follow us !
  • [video]: See our demo video

Future Developments

  • [] Apply Deep Research Systems To Generate Short Form Video (up to 5 minutes)
  • [] Visualize Pydantic Graphs as Loading Screens in the UI
  • [] Improve Data Science with more Complex Graph Agents
  • [] Create The DETERMINATOR Deep Research Demo
  • [] Create Deep Critical Literal Review
  • [] Create Deep Critical Hypothesis Generator
  • [] Create PyPi Package

Completed

  • Multi-Source Search: PubMed, ClinicalTrials.gov, bioRxiv/medRxiv
  • MCP Integration: Use our tools from Claude Desktop or any MCP client
  • HuggingFace OAuth: Sign in with HuggingFace
  • Modal Sandbox: Secure execution of AI-generated statistical code
  • LlamaIndex RAG: Semantic search and evidence synthesis
  • HuggingfaceInference:
  • HuggingfaceMCP Custom Config To Use Community Tools:
  • Strongly Typed Composable Graphs:
  • Specialized Research Teams of Agents:

Team

Acknowledgements

Links

GitHub Documentation Demo codecov Join us on Discord