Neo4j GenAI Plugin: embed, search, generate

Embed, search, generate - all from Cypher. The Neo4j GenAI plugin connects your graph directly to AI providers like OpenAI, Vertex AI, and Amazon Bedrock. We go hands-on with the new functions, explore what changed with Neo4j's native Vector data type (no more lists of floats), and walk through a real GraphRAG example - end to end, in Cypher. Whether you're building your first semantic search feature or upgrading existing embedding workflows, this session gives you the practical foundation to do it right. What we'll cover: - How the GenAI plugin connects Neo4j to external AI providers - Creating and storing vector embeddings - Vector indexes, similarity search, and the new SEARCH clause in Cypher 25 - Native Vector type vs. the old list-of-floats approach

Guest: Gem Lamont ( https://www.linkedin.com/in/gemmalamont/ )
#neo4j #graphdatabase #agenticai #knowledgelayer #knowledgegraph #graphrag #cypher #genai