Developers have quickly moved from learning about the power of GenAI apps to building them. But many are still exploring approaches for bringing GenAI apps into production.

GenAI apps must provide users with complete answers, meaning responses must be accurate, explainable, relevant, and be in context. Ultimately, you want to give the user the answer to the question they were turning over in their mind, not just to the exact question they typed in a search box. 

Join our 45-minute on-demand webinar and explore the first pillar of complete answers: accuracy. Discover how knowledge graphs can back GenAI apps to provide the precision that helps ensure confidence in using data from returned results in decision-making.

In this session, we'll cover:
  • The hallucination problem and its causes
  • Retrieval Augmented Generation, or RAG
  • How to combine Langchain, Neo4j, and LLMs to offer movie recommendations based on a Neo4j dataset
Adam Cowley
Staff Developer Advocate, Neo4j

Adam Cowley is a dedicated developer with a keen interest in data and graph databases. Serving as the Senior Developer Advocate at Neo4j, Adam produces educational content for GraphAcademy, Neo4j’s free, self-paced, online learning platform.

His technical experience spans two decades, developing websites, mobile apps and mixed reality experiences for budding startups to the world’s biggest companies.

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