Graph-Native Infrastructure for Context and Accountable AI Systems
- ai
- ai-governance
- artificial-intelligence
- context-engineering
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Graph-Native Infrastructure for Context and Accountable AI Systems
Incremental engine for long horizon agents 🌟 Star if you like it!
Neo4j graph construction from unstructured data using LLMs
Cartography is a Python tool that pulls infrastructure assets and their relationships into a Neo4j graph database.
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
Connect your company's data, let an agent draft an ontology over it, and load it into HelixDB as one graph you can explore and ask questions of. Hosted at foundry.helix-db.com, or run it on your own machine.
Graph-based security analysis for everyone
A decision-model-based ontology & knowledge-graph builder — builds governed knowledge graphs from your documents, every fact gated and traceable to its evidence.
A plugin to push to Algolia based on graphQl queries
Java importer skeleton for complicated, business-logic-heavy high-performance Neo4j imports directly from SQL databases, CSV files, etc.
Read JMeter results in a csv file and put results in Influxdb database and allows you to create beautiful graphs with Grafana
Parse cowrie honeypot logs into a neo4j database