In this module, you will use Python, LangChain, and OpenAI to create a knowledge graph from unstructured data. You must set up a development environment to run the code examples and exercises.
Get started
The repository, neo4j-graphacademy/llm-knowledge-graph-construction, has been created for this course. It contains any starter code and resources you need.
You can use a GitHub codespace as an online IDE and workspace for this course. It will automatically clone the course repository and set up your environment.
GitHub Codespaces
You will need to login with a GitHub account. The GitHub Codespaces free monthly usage will cover the duration of this course.
Develop on your local machine
You will need Python installed and the ability to install packages using pip.
You may want to set up a virtual environment using venv or virtualenv to keep your dependencies separate from other projects.
Clone the github.com/neo4j-graphacademy/llm-knowledge-graph-construction repository:
git clone https://github.com/neo4j-graphacademy/llm-knowledge-graph-constructionInstall the required packages using pip and download the required data:
cd llm-knowledge-graph
pip install -r requirements.txtYou do not need to create a Neo4j database as you will use the provided sandbox instance.
You can find out more about how to configure Neo4j’s GenAI functions in the Neo4j GenAI integration documentation.
Setup the environment
Create a copy of the .env.example file and name it .env.
Fill in the required values.
OPENAI_API_KEY=sk-...
NEO4J_URI=bolt://
NEO4J_USERNAME=neo4j
NEO4J_PASSWORD=Add your Open AI API key (OPENAI_API_KEY), which you can get from platform.openai.com.
Update the Neo4j sandbox connection details:
- NEO4J_URI
-
bolt://{sandbox-ip}:{sandbox-boltPort}
- NEO4J_USERNAME
-
{sandbox-username}
- NEO4J_PASSWORD
-
{sandbox-password}
Test your setup
You can test your setup by running llm-knowledge_graph/test_environment.py - this will attempt to connect to the Neo4j sandbox and the OpenAI API.
You will see an OK message if you have set up your environment correctly. If any tests fail, check the contents of the .env file.
Continue
When you are ready, you can move on to the next task.
Summary
You have setup your environment and are ready to start this module.
In the next lesson, you will explore a strategy for storing unstructured data in a graph.