Operationalizing GraphRAG - Lettria's Scalable Architecture with Neo4j and Qdrant
Qdrant - Vector Database & Search Engine via YouTube
Build the Finance Skills That Lead to Promotions — Not Just Certificates
The Private Equity Associate Certification
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Discover how to build and deploy a production-ready GraphRAG system through Lettria's innovative architecture that combines Qdrant's vector database capabilities with Neo4j's graph technology. Explore the technical implementation details of integrating high-performance vector search with graph-based knowledge representation to create scalable retrieval-augmented generation solutions. Learn from industry experts Kacper Łukawski, Romain Albrand, and Jennifer Reif as they demonstrate practical approaches to operationalizing GraphRAG systems, covering architectural decisions, performance optimization strategies, and real-world deployment considerations for enterprise-scale applications.
Syllabus
Operationalizing GraphRAG: Lettria’s Scalable Architecture with Neo4j and Qdrant
Taught by
Qdrant - Vector Database & Search Engine