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:
This workshop will put you on the path to controlling LLMs and enabling their integration into your 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
This workshop will put you on the path to controlling LLMs and enabling their integration into your projects.
Marouane Gazanayi
Neo4j
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.
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.
Martin O'Hanlon
Neo4j
Martin is an experienced computer science educator and open source software developer.
Martin creates educational content for Neo4j and supports developers in using graph technology to understand their data.
As a child he wanted to be either a Computer Scientist, Astronaut or Snowboard Instructor.
Martin creates educational content for Neo4j and supports developers in using graph technology to understand their data.
As a child he wanted to be either a Computer Scientist, Astronaut or Snowboard Instructor.