
AI systems are only as strong as the knowledge that powers them. In this live webinar, discover how Implicit built its KnowledgeOS platform on Neo4j to deliver more accurate, explainable, and reliable AI. Learn how graph technology structures enterprise knowledge, reduces hallucinations, and helps organizations unlock the full potential of agentic AI.
Join Neo4j and Implicit to explore how graph databases can dramatically improve AI accuracy and reliability.
In this session, Charlotte Currier, Senior Product Manager at Implicit, demonstrates how her team used Neo4j to build KnowledgeOS—a no-code AI knowledge engine that converts unstructured data into connected, queryable knowledge.
Learn how Neo4j’s graph technology powers:
Taxonomy-driven knowledge graphs for LLM grounding
GraphRAG for contextual retrieval and reduced hallucinations
Explainable, agentic AI systems that scale securely across the enterprise

Charlotte Currier
Senior Product Manager, Implicit
Charlotte Currier is a Senior Product Manager at Implicit with 14 years of experience in product management, program management, and no-code development across technology and energy sectors. She's spent her career at startups and small businesses, wearing multiple hats in product, operations, IT, and delivery.
Charlotte combines her obsession for building automations, eye for intuitive user experiences, and knack for learning new AI tools to bring ideas to market as fast as possible. Outside of work, Charlotte sings in a professional choir and loves to build legos with her husband and three kids.