BloodHound-MCP-AI is integration that connects BloodHound with AI through Model Context Protocol, allowing security professionals to analyze Active Directory attack paths using natural language instead of complex Cypher queries.
A framework for converting natural language text inputs to corresponding Pandas, MongoDB, Kusto and Neo4j (Cypher) queries.
Yet another JanusGraph, Cassandra/Scylla and Elasticsearch in Docker Compose setup
Convert english sentences to cypher
FalkorDB Python Client
Linking the text to the IDs of entities from a knowledge graph. It not only produces the background knowledge of the directly mentioned entities in the text, but also the entities not mentioned in the text but closely linked to the content.
Cypher access to Neo4J via IPython
This repository features a Real-Time Product Recommender System built using Neo4j, aimed at demonstrating the application of graph databases. It focuses on utilizing Neo4j for managing complex data relationships in recommendation engines, providing insights into effective data handling and analytics.
Explore the realms of graph databases with Neo4j, dive into Cypher queries, and integrate LLMs for dynamic data insights with Langchain. A personal journey to master graph data.
BloodHound-MCP is a powerful tool designed to analyze and visualize complex network relationships within Active Directory environments. It helps security professionals identify potential attack paths and improve their overall security posture.
A microbiome knowledge graph was constructed using data from the Human Microbiome Project, IBD cohort. This project was done as a part of my dissertation for my MSc in Health Data Science with The University of Manchester. It was done as an internship with Zifo RnD Solutions, a leading Scientific Informatics Company.
HopHacks 2019 "Best Hack for Social Good" track 1st place winning project - Graph database driven social network platform designed with Neo4j and Python with recommendation and search features.
Analyze contributors to PyPi using Libraries.io data
Natural language questions to Cypher (Neo4J) query language generator
Programmed RESTful API endpoints using py2neo to execute raw cypher queries and OGM on Neo4j database to query Game of Thrones graph.
A Python tool to convert YAML files to Cypher queries for graph databases like FalkorDB and Neo4j.
Exploratory work on a Neo4j graph database with Cypher-Query-Language
Add a description, image, and links to the cypher-query-language topic page so that developers can more easily learn about it.
To associate your repository with the cypher-query-language topic, visit your repo's landing page and select "manage topics."