BARC Webinar

RAG and Roll: Transforming GenAI Use Cases with Retrieval Augmented Generation​

03/04/2025 10:00 am

-

11:30 am

CET

| 10 am ET

How can you cost-effectively adapt GenAI language models to understand your domain-specific data?

Register for the webinar and

  • learn why RAG offers a simple, cost-effective alternative to model fine-tuning
  • explore how RAG works, including language models and data pipelines
  • discover ommon architectural approaches such as vector, relational and graph RAG
  • learn guiding principles to get started

Join over 10,000 annual webinar and event attendees. Benefit from our knowledge. Register now.

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Further information

Retrieval-augmented generation, known by the endearing acronym of RAG, has emerged as the most efficient method of reducing hallucinations for Generative AI. RAG workflows retrieve trustworthy content and use it to augment user prompts so that GenAI language models can generate accurate answers. Most early adopters of GenAI implement RAG to enable use cases such as customer service, document processing and software coding.

This webinar explains why and how data and AI teams can use RAG to enable GenAI. It examines key challenges, requirements, use cases and design principles.

Hosted by

Alexander Seeliger
Analyst Data & Analytics, Data Scientist

Alexander Seeliger is an Analyst for Data & Analytics and Data Scientist at the Business Application Research Center (BARC). He advises companies on use case identification for data analysis and tool selection for advanced analytics. He conducts proof of concepts in the field of advanced analytics and provides data science and data literacy coaching. Alexander Seeliger is the author of BARC market studies and research articles. He speaks at conferences and conducts BARC and in-house seminars. He is mainly responsible for data management, data preparation and data enrichment of the BARC product and service overviews.

Kevin Petrie
VP of Research at BARC US

Kevin is the VP of Research at BARC US, where he manages the research agenda and writes about topics such as data integration, data observability, machine learning, and cloud data platforms. For 25 years Kevin has deciphered what technology means to practitioners, as an industry analyst, instructor, marketer, services leader, and tech journalist. He launched a data analytics services team for EMC Pivotal in the Americas and EMEA, and ran field training at the data integration software provider Attunity (now part of Qlik). A frequent public speaker and co-author of two books about data management, Kevin most loves helping startups educate their communities about emerging technologies.

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