Join us for a technical deep dive into Mina, a solution to manage medical question-answer pairs across diverse healthcare domains. We’ll explore how to address LLM hallucination through grounding techniques, design Q&A data models in Neo4j with real-world considerations, and use Neo4j as both a vector store and a graph database. Additionally, we’ll dive into the architecture of retrieval-augmented generation (RAG) pipelines and discuss key evaluation metrics.

Perfect for AI practitioners, knowledge graph enthusiasts, and those tackling the challenges of reliable LLMs in specialized fields.

Guest: Quinten Rosseel
https://www.linkedin.com/in/quintenrosseel

#neo4j #graphrag #knowledgegraphs #genai #healtcare #chatbot