We are excited to invite you to this in-person, 4-hour workshop in San Francisco. This is a great opportunity to learn about GenAI, RAG & Knowledge Graphs.

Bring your laptop & build a RAG application along with our experts.

Space is limited. Food & drinks will be served.

Workshop Agenda:

10:00: Open door & registration

10:30: Welcome & Workshop, part 1

12:00: Lunch

13:00 - 15:30: Workshop, part 2

16:00: Closing

Description:

Learn how to integrate generative AI models using Python, Neo4j & Langchain.

You will:

• Learn about Large Language Models (LLMs), hallucinations & integrating knowledge graphs


• Explore Retrieval Augmented Generation (RAG) & its role in grounding LLM generated content


• Use vector indexes & embeddings in Neo4j to perform similarity & keyword search


• Use Python & Langchain to integrate with Neo4j & OpenAI

After completing the workshop, you will have practical understanding of LLMs, RAG, & knowledge graphs. You will also have the skills to create simple LLM-based applications using Neo4j & Python.

Prerequisites:

Before taking this course, you should have:

• A basic understanding of Graph Databases & Neo4j


• Knowledge of Python & capable of reading simple programs

We recommend taking the Neo4j Fundamentals course.