Mastering Retrieval-Augmented Generation with the Neo4j GraphRAG Package

This repository accompanies the Mastering Retrieval-Augmented Generation with the Neo4j GraphRAG Package on GraphAcademy.

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Test

To run the solution tests:

1. Create Neo4j instance with the recommendations dataset

2. Run the following Cypher scripts:

   1. Add plot embeddings and create the vector index.

   2. Create full text index.

   3. Create poster embeddings and vector index.

3. Create a virtual environment and install the requirements.

   pip install -r requirements.txt

4. Install pytest

   pip install pytest

5. Create a .env file in the root directory. Use .env.example as a template.

6. Run the tests

   pytest 1-knowledge-graphs-vectors/solutions
   pytest 2-neo4j-graphrag/solutions