Lab: Scaling up Meeting Admin Automation leveraging RAG & Knowledge Graphs

Transform Archives into Organizational Intelligence

Unlock the collective wisdom hidden in your meeting archives through this advanced workshop on enterprise-scale intelligence. Moving beyond single-meeting analysis, we'll learn how cutting-edge Retrieval Augmented Generation (RAG) and Knowledge Graph technologies can transform disconnected transcripts into an interconnected knowledge ecosystem. 

Discover how these sophisticated approaches allow AI systems to draw connections across conversations and surface insights. Experience the complete workflow—from ingesting multiple meeting transcripts into a unified system to visualizing the complex web of topics, participants, decisions, and commitments.

This advanced lab provides hands-on experience with the enterprise-grade technologies that leading organizations are implementing to transform content from a liability into a strategic asset, converting thousands of hours of conversations into accessible, actionable institutional knowledge.

We take the next step working with the meeting dataset. We scale up from working with a single text file from one meeting, to working with a collection of text files from many meetings.

We start by introducing Retrieval Augmented Generation & Knowledge Graphs. We then introduce the use case, the tool and the exercise we'll be working on, and provide guidance.

• Outline
• Introduction to Retrieval Augmented Generation (RAG)
• Introduction to Knowledge Graphs
• RAG types
• Working with RAG & Knowledge Graphs
• Ingestion
• Visualization
• Exploration
• Summarization
• Action points
• Question Answering
• Reasoning
• Synthesis
• Evaluation

• Format
• This session is hands-on. Attendees work on their laptops

• Level
• Advanced

• Prerequisite Knowledge
• Refining Meeting Admin Automation leveraging GenAI Prompt Engineering

• Learning Outcomes
• Experience using advanced methods to process multiple text documents and interact with LLMs