RubensZimbres/Graph_RAG
A Flask app running GraphRAG for healthcare, made with Vertex AI and Neo4j, to be deployed in a container (Cloud Run or ECS).
This helps healthcare professionals and researchers better understand patient medical reports by automatically generating a knowledge graph of diseases. You provide a PDF with disease descriptions and a CSV file containing disease data. It then takes a patient's medical report as input and outputs a list of possible diseases, leveraging a specialized knowledge graph to enrich the information.
No commits in the last 6 months.
Use this if you need to quickly identify potential diseases from patient medical reports by referencing a comprehensive, automatically generated knowledge graph of medical conditions.
Not ideal if you are looking for a simple, off-the-shelf diagnostic tool that doesn't require initial data preparation with disease descriptions and data in PDF and CSV formats.
Stars
7
Forks
—
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 13, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/RubensZimbres/Graph_RAG"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
neo4j/neo4j-graphrag-python
Neo4j GraphRAG for Python
microsoft/graphrag
A modular graph-based Retrieval-Augmented Generation (RAG) system
Hawksight-AI/semantica
Semantica 🧠— A framework for building semantic layers, context graphs, and decision...
FalkorDB/GraphRAG-SDK
Build fast and accurate GenAI apps with GraphRAG SDK at scale.
getzep/graphiti
Build Real-Time Knowledge Graphs for AI Agents