New GraphAcademy Courses: LLM Fundamentals and Build Chatbot with Python

We just published two new GraphAcademy courses :tada::

In this course, you will learn how to integrate Neo4j with Generative AI models using Langchain.

You will learn why graph databases are a reliable option for grounding Large Language Models (LLMs), using Neo4j to provide factual, reliable information to stop the LLM from giving false information, also known as hallucination.

In this hands-on course, you will use the knowledge gained in the Neo4j & LLM Fundamentals course to create a Movie Recommendation Chatbot backed by a Neo4j database.

You will take a simple chat interface that repeats the userโ€™s input, and modify it to answer questions about movies via the Neo4j Recommendations Dataset using GPT 3.5 Turbo, complete with conversational history.

The chatbot will be able to answer questions like:

  • How many movies has Tom Hanks acted in?

  • What is the most popular movie in the database?

  • Can you recommend a movie for fans of The Matrix and Casino?

At the end of the course, you will have a working chatbot built with Streamlit.