n8n at SCALE: Practical Strategies for Optimizing RAG
What You'll Learn
Join host, Angel Menendez, and special guest, Mary Newhauser, as we dive into Retrieval-Augmented Generation (RAG), one of the most effective ways to enhance large language models with your own knowledge. This session will focus on practical strategies for optimizing RAG implementations directly in n8n.
In this session, you’ll learn how to:
Review how RAG works (indexing and inference phases)
Understand when RAG is the right solution and its limitations
Apply chunking strategies for more effective retrieval
Leverage metadata for precision and filtering
Select embedding models and generative models that fit your needs
Apply prompt engineering techniques to improve outputs
Build and optimize a RAG workflow in n8n featuring vector search with Weaviate
Mary Newhauser is a freelance machine learning engineer specializing in RAG, vector databases, and LLM fine-tuning. She also maintains a blog on generative AI for beginners called GPTech. Mary is especially interested in open source software and models and an active participant in Berlin’s women+ in tech scene.
Why It Matters
One of the biggest challenges in building AI solutions is making them robust and reliable in real-world conditions. Knowledge retrieval can fail if data is chunked poorly, embeddings don’t capture context, or retrieval methods are misaligned. On the generation side, prompt and model choices can make the difference between accurate insights and hallucinations.
By learning how to optimize RAG workflows in n8n, you’ll gain the tools to deliver more accurate, efficient, and trustworthy AI applications while reducing risks of drift, inconsistency, or degraded performance over time.
Who should attend?
This webinar is ideal for:
Developers and engineers implementing AI-powered workflows in production
Enterprise teams looking to improve the accuracy and reliability of RAG systems
n8n users at any level interested in AI use cases and advanced workflow design
Session Format
This session will include a presentation followed by a demo with live chat Q&A. Live video Q&A will be available at the end of the presentation. To ensure we can get deep into this topic and answer your questions, the session will be 90 minutes.
Submit your questions in advance by 📌 clicking here, and we'll be sure to address the most common inquiries live.
Join the n8n at SCALE Community
This session is more than just a learning opportunity—it's a chance to connect with other Enterprise and IT Ops professionals. Engage with our experts, share experiences, and become part of a growing network of automation enthusiasts.
📅 Reserve your spot now and get your questions answered live!