Training Series – Mastering Neo4j Deployment for High-Performance RAG Applications

Name: Training Series – Mastering Neo4j Deployment for High-Performance RAG Applications
Uploaded: 2024-03-21T08:44:04-07:00
Duration: 1 h 54 min 11 s
Description: This session offers valuable insights from our experience transforming a RAG (Retrieval Augmented Generation) Proof of Concept, which using a Neo4j knowledge graph, into a fully-fledged cloud application. This session is designed to provide practical guidance on enhancing your development…

March 21, 2024
Length: 1 hr 54 min

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This session offers valuable insights from our experience transforming a RAG (Retrieval Augmented Generation) Proof of Concept, which using a Neo4j knowledge graph, into a fully-fledged cloud application. This session is designed to provide practical guidance on enhancing your development practices and optimizing Neo4j-based applications for the cloud environment.

During the workshop, the team will delve into several key areas, including:

Prioritizing Development: Discover strategies for efficiently prioritizing development tasks to ensure your project advances smoothly from concept to production.
Moving Code out of Jupyter Notebooks: Learn the best practices for transitioning code from Jupyter Notebooks to a more structured and scalable environment suitable for cloud application development.
Creating Ingestion Pipelines: Gain insights into designing and implementing effective ingestion pipelines that streamline data flow into your Neo4j knowledge graph, enhancing data reliability and availability.
Refactoring the Graph Data Model: Explore techniques for refining and optimizing your graph data model to better support cloud applications' scalability and performance requirements.

Trainers: Daniel Bukowski, Alex Gilmore & Alexander Fournier