LLMs, RAG, Python, and LangChain

Workshop Overview

In this workshop, you will:

  • Learn about LLMs and strategies for improving their responses

  • Use Python and LangChain to interact with an LLM

  • Learn how to implement Retrieval Augmented Generation (RAG) strategies, including:

    • Using prompts to provide instructions and context

    • Using Neo4j vectors to query a graph database

Workshop Structure

This workshop is hands-on, and you will be writing code.

Each section will have a brief introduction, followed by a practical activity.

If you are ready, let’s get going!

Ready? Let’s go →