https://github.com/daphinie/cohort_lens

Agentic AI app optimizing study participant selection using graphRAG
https://github.com/daphinie/cohort_lens

agentic-ai graphrag langchain

Last synced: 7 months ago
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Agentic AI app optimizing study participant selection using graphRAG

• Host: GitHub
• URL: https://github.com/daphinie/cohort_lens
• Owner: daphinie
• Created: 2025-03-10T03:31:17.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2025-03-22T23:24:06.000Z (7 months ago)
• Last Synced: 2025-03-23T00:22:39.513Z (7 months ago)
• Topics: agentic-ai, graphrag, langchain
• Language: Jupyter Notebook
• Homepage:
• Size: 419 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Cohort Lens

Agentic AI app that leverages **GraphRAG, NVIDIA cuGraph, LangChain, and ArangoDB** to optimize clinical and public health study recruitment. By analyzing medical knowledge graphs, it uncovers hidden connections between patients, conditions, and treatments, enabling smarter cohort selection.

![demo thumbnail](https://github.com/daphinie/cohort_lens/blob/main/cohort_lens_thumbnail.png)

## Built for

[Building the Next-Gen Agentic App with GraphRAG & NVIDIA cuGraph](https://arangodbhackathon.devpost.com/)

## Features

- **GraphRAG-powered AI Agent** for intelligent participant selection.

- **LangGraph & LangChain integration** for multi-step reasoning in study recruitment.

- **NVIDIA cuGraph acceleration** for efficient graph analytics.

- **Medical knowledge graph** built in **ArangoDB** for scalable data relationships.

- **Full-text search with ArangoSearch** for rapid patient and condition lookup.

## Built with

- [LangChain](https://www.langchain.com/), [LangGraph](https://www.langchain.com/langgraph)  

- [NetworkX & NVIDIA cuGraph](https://docs.rapids.ai/api/cugraph/nightly/nx_cugraph/nx_cugraph/)

- [ArangoDB](https://arangodb.com/)  

- [OpenAI API](https://platform.openai.com/docs/overview)

- [Gradio](https://www.gradio.app/)

## Getting started

```bash

# Clone the repository

git clone https://github.com/daphinie/cohort-lens.git

cd cohort-lens

# Set up ArangoDB account

# Run the notebook in Colab with the following variables:

DB_HOST=

DB_PASS=

OPENAI_API_KEY=

```