⚠️ This project is inactive. Contents have been migrated to an updated repository.

Going forward please refer to neo4j-product-examples/ds-recommendation-use-cases

Google Cloud AI Examples w/ Neo4j

A working example for deploying a GraphRAG agent to automate Bill of Materials and Supply chain analytics.

This is done using Neo4j as the graph Database and Google Cloud Platform (GCP) infrastructure including:

1. Gemini for the LLM
2. Google Agent Development Kit (ADK) for the agent SDK
3. Google Cloud Run for Agent deployment
4. Big Query to store the source data (to be mapped to knowledge graph in Neo4j)

This repo is broken into 3 major directories:

1. /create-source-data (Can Be Skipped): to construct Big Query source tables
2. /knowledge-graph-creation: Map Big Query Data to a Neo4j Knowledge Graph
3. /agents: Get started with and deploy multi-agent GraphRAG service. See README in directory for instructions

Prerequisites

1. You should have access to a google project account and be able to authenticate through the gcloud cli.
2. Create a Python env for running everything and install the requirements pip install -r requirements.txt