Constructing Knowledge Graphs with Neo4j GraphRAG for Python

In this hands-on course, you will learn how to create knowledge graphs using Neo4j GraphRAGiFull definition for GraphRAG (opens in a new tab)Retrieval-augmented generation whose context comes from a knowledge graph, so the model can follow the relationships between facts. for Python.

You will:

• Use the neo4j_graphrag Python package to build knowledge graphs from unstructured data.
• Add structured data to the knowledge graphiFull definition for knowledge graph (opens in a new tab)A representation of real-world entities and their relationships, stored according to organizing principles, typically in a graph database. to improve LLMiGo to glossary for large language model (opens in a new tab)A model trained on text to predict the next token, and so to generate language. responses.
• Create retrieversiFull definition for retriever (opens in a new tab)A component that searches a data source and returns the information relevant to a query. Often used to provide context for a language model. to search the knowledge graph.
• Learn how you can customize the build process to suit your data and use case.

Finally, you will use what you have learned to build a knowledge graph from your data.

Prerequisites

This is an advanced course and you should:

• Understand graph and Neo4 fundamental concepts - Neo4j and Graph Fundamentals.
• Have an understanding of how Generative AIiGo to glossary for generative AI (opens in a new tab)Models that produce new content rather than classifying or scoring content that already exists., LLMs, and vector indexes are related to Neo4j - Neo4j & GenerativeAI Fundamentals.
• Be able to read and write simple CypheriFull definition for Cypher (opens in a new tab)Neo4j's implementation of GQL, the ISO standard query language for graph databases. It is declarative: you describe the pattern to find, and the database decides how to find it. queries - Cypher Fundamentals.
• Understand how you can use an LLM to generate a knowledge graph - LLM Knowledge Graph Construction.
• Have experience with programming in Python.