PyCon Portugal 2024 – GenAI Beyond Chat with RAG, Knowledge Graphs and Python

In this GenAI workshop, you will learn how Knowledge Graphs and Retrieval Augmented Generation (RAG) can support your GenAI projects.

You will:
Use Vector indexes and embeddings in Neo4j to perform similarity and keyword search Use Python, LangChain and OpenAI to create a Knowledge Graph of unstructured data Learn about Large Language Models (LLMs), hallucination and integrating knowledge graphs Explore Retrieval Augmented Generation (RAG) and its role in grounding LLM-generated content

After completing this workshop, you will be able to explain the terms LLM, RAG, grounding, and knowledge graphs. You will also have the knowledge and skills to create simple LLM-based applications using Neo4j and Python.

This workshop will put you on the path to controlling LLMs and enabling their integration into your projects.