Use case
Build a LLM Knowledge Graph Chatbot Demo: Social Networks
In this demo, we walk through the PuppyGraph RAG Chatbot—a Python-based Gradio app that uses an LLM (Anthropic) for seamless text-to-Cypher generation. Watch as we turn natural language questions into real-time graph queries, instantly exploring complex relationships without moving any data.PuppyGraph is the first real-time, zero-ETL graph query engine. Instead of building complex data pipelines or copying massive datasets into a traditional graph database, PuppyGraph lets you query your existing relational data stores and data lakes as a unified, high-performance graph model.
Tech stack
Docker
PuppyGraph
Queries in natural language
- How many people are there in the system?
- Give me five example people?
- Tell me everything about a particular user in the system
Want to try it yourself?
We've open-sourced the sample dataset, graph schema, and graph queries on GitHub, so you can recreate this demo in your own environment.
Visit GitHub Repository
