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Introduction to Neo4j with Python, LangChain & OpenAI

Introduction to Neo4j with Python, LangChain & OpenAI

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Dive into the world of graph databases with ‘Introduction to Neo4j with Python, LangChain & OpenAI’.

This course guides you gently from the very basics of creating Neo4j database via a web browser.

We will use AuraDB, cloud-based service by Neo4j that enables us to create one free instance of the database.

On the way you will learn how to interact with the database using Cypher language.

Next, we will use simple Python code for powerful data work. Initial code will be provided via repository.

We’ll also play with LangChain and OpenAI to make your data come alive.

As we are gaining to use new Neo4j capability to create vector index, we will look at the data from two angles:

– we will query database schema, using LLM as a translator of questions into cypher queries

– we will query vector index using embeddings imported into the database

We will briefly also touch on the subject of creating embeddings for the data stored in the database.

No heavy tech talk, just clear steps and support for your learning journey.

As part of the training comes Neo4j Cheat Sheet and a list of cypher queries used in the project with detailed explanation.

With that, knowledge from the course can be transferred to another project that uses Neo4j and Python.

Join me to unlock the potential of your data with Neo4j!

Neo4j: create database with Cypher language

1

Introduction to the Course

Video lesson

Introduction to what we are going to accomplish at the end of the training
2

About Neo4j Cheat Sheet

Video lesson

Introduction to Neo4j Cheat Sheet
3

Into the Cheat Sheet

Video lesson

Neo4j Cheat Sheet sections about Cypher language
4

Introduction to Graph Database

Video lesson

Brief introduction to Graph Database
5

Structure of Cypher language

Video lesson

How to built Cypher queries
6

Introduction to document Cypher Queries document

Video lesson

Introduce document where I describe all the queries that we will execute to create our graph model
7

About the Data

Video lesson

About the CSV files with skills and job titles that we will be using. Plus how we map the data to the graph that we are going to build
8

Quiz #1

Quiz

Graph Databases
9

Summary of the Chapter

Video lesson

Vector Index

10

Introduction to the Chapter

Video lesson

About the new chapter dedicated to creating Neo4j database with Cypher queries
11

Create access to AuraDB

Video lesson

Create access to AuraDB, create first instance
12

BONUS: Neo4j Desktop Setup

Video lesson

Neo4j Desktop installation guide with plugins, insight how to import files and connect the database
13

New DB Instance Accessing CSV Files

Video lesson

We will access our newly create instance and confirm the database can access remotely stored CSV files
14

Create Constraints

Video lesson

Create constraints for data that we are going to import
15

Import Data: Create Title Nodes

Video lesson

We will start with Title nodes creation
16

Import Data: Create Skill Nodes

Video lesson

We will create Skill nodes with properties: name, id, description and category
17

Visualise Graph

Video lesson

Let's see what we have done so far
18

Import Data: 'skills' properity

Video lesson

We will import remaining data and create 'skills' property for nodes Title
19

Relationship Between Nodes

Video lesson

We will create relationship between nodes Skill and Title using data from 'skills' property to guide us on relations between job titles and skills
20

Introduce Schema Procedures

Video lesson

Introduce Neo4j procedures for visualising DB schema
21

Creating Another Label for Existing Nodes

Video lesson

Use 'category' property under node Skill to create second label for the same node
22

Visualize Graph

Video lesson

Let's get a view on how the newly create graph database presents itself
23

Performance of a Query

Video lesson

Bonus section: PROFILE clause in a pursue to produce efficient queries
24

Quiz #2

Quiz

Cypher Language
25

Summary of the Chapter

Video lesson

Neo4j with Python

26

Introduction to the Chapter

Video lesson

In this chapter we will create vector index
27

Data Import: Import Embeddings

Video lesson

We will talk about vector search and embeddings. We will import embeddings that have been created for the purpose of the project.
28

Create Index

Video lesson

We will create our vector index that we will use for vector search later on in the project
29

Summary of the Chapter

Video lesson

LangChain & Plugging Neo4j into an LLM

30

Introduction to the Chapter

Video lesson

IN this chapter we will work with Neo4j using Python driver
31

Clone Repository with Initial Code

Video lesson

I have created initial code to ease creation of the scripts we will be using in the project
32

Credentials & Cypher Queries

Video lesson

I will introduce two files: .env and a file where I stored cypher queries we created in the previous chapter
33

Package Requirements

Video lesson

What you will need to install in your virtual environment
34

CSV Files

Video lesson

Briefly about the files that are part of the repo
35

Files: main.py & utils.py

Video lesson

The project steps are executed via main.py and all functions that are used across multiple scripts are stored in utils.py
36

Connect Neo4j Database with Python Driver

Video lesson

Neo4j requires Python driver in order to create connection to the database. We will learn how to use it
37

Update utils.py File

Video lesson

WE will finish updating functions used for the project
38

Execute Cypher Queries Using Python Script

Video lesson

Create data model using python code
39

Creating Embeddings - Example Script

Video lesson

I will briefly introduce a script to create embeddings based on the data stored in Neo4j
40

Vector Index with Python Code

Video lesson

We will used our queries to create vector index
41

Tidy Up Created Code

Video lesson

We will simplify the code
42

Summary

Video lesson

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!

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