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 user’s input, and modify it to answer questions about movies via the Neo4j Recommendations Dataset using GPT-4, 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?
This course relies heavily on the information contained in the Neo4j & LLM Fundamentals course. If you have not already done so, we recommend completing this course first.
What you will learn
How to build a Neo4j-backed Chatbot with Langchain and GPT-4
Answering user queries with an LLM
Retrieval Augmented Generation (RAG)
Langchain Agents and QA Chains
If you find yourself stuck at any stage then our friendly community will be happy to help. You can reach out for help on the Neo4j Community Site, or head over to the Neo4j Discord server for real-time discussions.
If you have any comments or feedback on this course you can email us on email@example.com.
Course Coming Soon
We are currently working on this course. Fill in the form below to register your interest and we will contact you when it is ready.