Why do we need arguments in RAG?
RAG (Retrieval-augmented Generation) is only as good as the retrieval. If retrieval fails, the LLM will either still make up an answer (and possibly hallucinate), or simply not be able answer the question. For example, ChatGPT (in its latest 4o version and using web search) is very good in providing reasonable answers to questions about […]
Blog post: Unveiling Neo Bank Challenges – Insights from App Store Reviews
Unveiling Neo Bank Challenges – Insights from App Store Reviews This blog post was originally posted on LinkedIn. Please visit the post there to engage with comments. As the fintech industry continues to revolutionize traditional banking, the emergence of Neo Banks has been met with both excitement and skepticism. These digital-first institutions promise convenience, innovation, […]
A Comparative Exploration of Weight Loss Medications
The fight against obesity has become a pressing public health issue today. Especially after multiple articles around Eli Lilly`s record-breaking factory opening in Alzey, Germany. With alarming obesity rates affecting almost half of the female and more than 60% of the male population in Germany, and a considerable proportion of the population suffering from obesity, […]
Enhancing Retrieval-Augmented Generation with Argument Mining: A Paradigm Shift in AI
Retrieval-Augmented Generation (RAG) has emerged as a game-changer, integrating the power of generative AI with an organization’s internal data. The traditional retrieval approach, which often relies on semantic search in vector databases, comes with several challenges, such as limited search context and increased storage and computational costs. At summetix, we have taken a revolutionary approach […]
Recent Job Openings
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