RAG and AI assistants: how chatting with your own data can transform your processes
For your company to stay competitive in today's fast-moving technology landscape, integrating AI into your workflows is no longer just one option among many, it is a necessity.
Large language models (LLMs) are extremely popular, but they have their weaknesses too: they tend to hallucinate, they have no access to your business data and they struggle to understand domain-specific topics. Retrieval augmented generation (RAG) is a groundbreaking leap in AI technology that lets large and mid-sized companies in particular tap into the strengths of domain-specific and proprietary real-time data like never before.
Find out how your company can benefit from a highly customised RAG chatbot that seamlessly processes both your own proprietary data and domain-specific, trustworthy and current data. That means you can finally use the knowledge in your detailed manuals, spreadsheets and databases with a clear conscience, and integrate it closely into your existing systems with AI assistants.
In this webinar you’ll learn
- How chatbots with RAG and AI assistants transform company processes
- The most important use cases that are accelerated by AI-driven assistants
- Before-and-after examples from companies that have used RAG and AI assistants to speed up their processes
- The security aspects and other pitfalls to keep in mind
Your hosts
As a member of the management team and Head of Development at SPRYLAB, Arthur Silber has been helping large and mid-market companies in healthcare, media, mobility and sport with the design and development of large-scale platforms for 5 years. Before that, Arthur Silber spent 4 years as Chief Architect at the start-up kyub. He completed his academic training as an IT systems engineer at the Hasso-Plattner-Institut, graduating with distinction.
Looking for personalised advice tailored to your specific needs? We’re happy to help.
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