Marouane is an enthusiastic developer who is always eager to expand his knowledge. He actively participates in various events, both as an attendee and organizer, to share his passion for emerging technologies.
He thrives in collaborative environments, enjoying the opportunity to work alongside talented individuals and explore innovative ideas and technologies.
Marouane constantly seeks ways to enhance the products he contributes to. With a strong focus on pragmatism and effective problem-solving, he actively promotes the principles of software craftsmanship, emphasizing the importance of creating well-crafted and reliable software solutions.
He is works actually at Neo4j in the Professional Services team.
In this GenAI workshop, you will learn how Knowledge Graphs and Retrieval Augmented Generation (RAG) can support your GenAI projects.
GenAI and Large Language Models (LLMs) have the potential to increase productivity and provide access to data, but they need grounding and good context to be truly useful:
In this workshop, 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.
For most of us, GraphQL was just a lot of hype then it disappeared.
But what if I told you I was blown away by its power, especially when combined with a graph database?
Let’s discover the power of integrating Neo4j and GraphQL, by demonstrating how these technologies can revolutionize your approach to handling graph data.
Through live coding on a public data set, we'll guide you through the rapid development process from concept to production. You'll understand how to combine Neo4j's graph database power with the flexibility of GraphQL to build efficient applications quickly.
This session will offer valuable insights and practical knowledge, whether you are an experienced developer or new to graph databases.
Searching for speaker images...