Improve RAG Quality: Advanced Techniques

Hosted by Lena Shakurova

Wed, Aug 27, 2025

5:00 PM UTC (1 hour)

Virtual (Zoom)

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AI Automation for Business Leaders and Operations Managers
Lena Shakurova
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What you'll learn

Key factors that affect retrieval quality

Understand main elements that impact RAG performance, from embeddings to document chunking and architecture decisions.

Advanced methods for improved retrieval quality

Learn advanced RAG techniques to produce reliable answers even when your data is messy or contradictory.

Why this topic matters

Many factors influence the quality of your RAG: embeddings, how you chunk and format documents, whether your data is contradictory or noisy, and the architecture you build on top. Weakness in any of these areas can lead to irrelevant retrievals, poor accuracy, and hallucinations. This session will break down each factor and show you how to optimise them for reliable RAG applications.

You'll learn from

Lena Shakurova

AI Advisor & Founder at ParsLabs

Lena Shakurova is the founder & CEO at ParsLabs, Conversational AI agency and Chatbotly, a no-code platform for building AI assistants trained on custom data. Since 2018+, her agency helped 100+ companies with their AI projects, from strategy to production. Prior to this, Lena worked as an NLP Research Engineer and Full-Stack Developer. Lena focuses on ethical, user-first AI, leveraging her expertise in Linguistics & AI to create responsible AI solutions that drive business results. She shares insights on AI innovation and human-centered design through her blog, LinkedIn and YouTube channel.

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