jalakoo

docker run \
  --name neo4j-docker \
  -p 7474:7474 -p 7473:7473 -p 7687:7687 \
  -e NEO4J_AUTH=neo4j/password \
  -e NEO4J_PLUGINS='["apoc","apoc-extended", "bloom","graph-data-science","genai"]' \
  -e NEO4J_ACCEPT_LICENSE_AGREEMENT=yes \
  
  -v $HOME/neo4j/docker/data:/data \
  -v $HOME/neo4j/docker/logs:/logs \
  -v $HOME/neo4j/docker/plugins:/plugins \

jalakoo

services:
  neo4j:
    image: neo4j:2025.09.0-enterprise-bullseye
    container_name: neo4j
    restart: unless-stopped
    ports:
      - "7474:7474"   # Neo4j Browser (HTTP)
      - "7473:7473"   # Bloom (HTTPS)
      - "7687:7687"   # Bolt protocol
    environment:

jalakoo

[
  {
    "name": "Moving to Japan from the US",
    "description": "A comprehensive guide for relocating from the United States to Japan, covering visa requirements, financial planning, housing, and cultural integration",
    "iso_639_1": "en",
    "icon_url": "",
    "image_url": "",
    "updated_at": "2024-11-24T00:00:00Z",
    "tasks": [
      {

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[
  {
    "Moving to Japan from the US": [
      {
        "Phase 1: Before Moving (3-6 months before)": [
          {
            "Visa and Legal": [
              {
                "name": "Determine the correct visa type and obtain Certificate of Eligibility (COE)",
                "links": [

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{
  "Moving to Japan from the US": {
    "Phase 1: Initial Planning & Legal Requirements (6-12 months before)": {
      "Visa and Immigration": {
        "tasks": [
          {
            "name": "Determine the correct visa type (work, spouse, student, highly skilled professional, etc.)",
            "links": [
              {
                "title": "Ministry of Foreign Affairs of Japan",

jalakoo

#!/usr/bin/env python3

"""
Simple Neo4j GraphRAG implementation using OpenAI embeddings and LLM

Installation instructions:
python -m venv venv
source venv/bin/activate
pip install neo4j 'neo4j-graphrag[openai]'
"""

jalakoo

from neo4j import GraphDatabase

# Read-only credentials
URI = "neo4j+s://demo.neo4jlabs.com"
USERNAME = "goodreads"
PASSWORD = "goodreads"
DATABASE = "goodreads"

def main(query, params):
    with GraphDatabase.driver(URI, auth=(USERNAME, PASSWORD)) as driver:

jalakoo

Setup & Add Products

Lets create some data to my neo4j database.

Add a list of 6 Products for a smart glasses company with the properties:
- id (integer starting from 1)
- name (a simple name of the product)
- msrp_usd (sale price of the product in USD)

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Agents

Generate a .csv listing 6 customer service agents with the following column headers: id (single integer starting with 1), name, email, bio (short description of professional history and technical background), hired_at (use an ISO 8601 compatible datetime string for UTC / GMT 0)

Customers

Generate a .csv listing 12 customers with the following column headers: id (single integer starting with 1), name, email, customer_since (use an ISO 8601 compatible datetime string for UTC / GMT 0)

Tickets

Generate a .csv listing 24 customer tickets detailing issues clients are having with a company's software product. Use the following column headers: id (single integer starting with 1), title, content (short description of problem), customer_id (random integer between 1 and 12 using normal distribution / bell curve), assiged_to (random integer between 1 and 6 with a normal / bell curve distribution), opened_at (use an ISO 8601 compatible datetime string for UTC / GMT 0), resolved_at (use an ISO 8601 compat

jalakoo

import streamlit as st
from st_cytoscape import cytoscape
from baml_client import b
import json

# Set page config
st.set_page_config(layout="wide")

def process_graph_result(result):
    """Convert BAML graph result to cytoscape elements format"""