RAG Explained: How Businesses Can Build AI That Knows Their Data

Understand How RAG Connects AI with Business Data

Generative AI can produce useful responses, but general-purpose AI models may not have access to an organisation’s private, internal or up-to-date information.

Retrieval-Augmented Generation (RAG) provides an approach for connecting AI applications with external knowledge sources. It allows an AI system to retrieve relevant information from business data and use that information when generating responses.

Join Stephen Peart, LSET Startup Advisor, for a practical webinar introducing RAG and exploring how businesses can use it to build AI applications that work with their own data.

What You’ll Learn

During this session, we’ll explore:

• What Retrieval-Augmented Generation (RAG) means
• Why businesses use RAG with generative AI
• How RAG connects AI applications with business data
• The main components of a RAG system
• How documents and other data sources can become searchable knowledge
• How retrieval works before an AI generates a response
• The role of embeddings and vector databases
• Examples of business applications for RAG
• How RAG can support internal knowledge and information retrieval
• Key data security and privacy considerations
• Common challenges when implementing RAG
• Factors businesses should consider before building a RAG-based AI solution

Why Attend?

AI applications are increasingly being used to work with business information, but organisations need practical approaches for connecting AI with their own knowledge sources.

RAG provides a way to retrieve relevant information from external data sources and use that information as context for AI-generated responses.

This webinar provides a practical introduction to RAG and helps participants understand how the technology can support AI applications that work with business-specific information.

Who Should Attend?

This webinar is suitable for:

• Business owners and founders
• Technology leaders
• IT professionals
• Software developers
• AI and machine learning professionals
• Data professionals
• Product managers
• Digital transformation teams
• Professionals exploring enterprise AI
• Anyone interested in RAG and AI-powered knowledge systems

Meet the Speaker

Stephen Peart

LSET Startup Advisor

Stephen Peart brings practical insight into emerging technologies, AI adoption and the application of AI within modern business environments.

In this session, Stephen will introduce the fundamentals of RAG and explore how organisations can connect AI applications with their own business data and knowledge sources.

Join Us Live

Join Stephen Peart for a practical LSET webinar exploring how Retrieval-Augmented Generation can connect AI applications with business data.

Understand How RAG Connects AI with Business Data

Join Us Live.

About London School of Emerging Technology

London School of Emerging Technology (LSET) provides professional learning and industry-focused programmes across Artificial Intelligence, Cybersecurity, Data Science, Software Engineering and other emerging technology disciplines.

Through webinars, training programmes and practical learning opportunities, LSET helps professionals and organisations explore emerging technologies and develop relevant knowledge and skills.

Learn Today, Build Tomorrow.