Daniël Spee
Daniël is a seasoned Search Engineer at Luminis, where his passion for technology is manifested in creating and enhancing search solutions. He possesses a unique understanding of the field, believing that an excellent search experience transcends the pure technology underpinning it. His focus on the user experience, along with his innovative approach to problem-solving, enables him to develop search systems that are functional, efficient, and exceptionally user-friendly.
His proficiency in search engineering is matched by his excellent communication skills and team spirit. Daniël excels in translating complex concepts into easily understandable language, enabling effective collaboration with diverse teams and clients. His dedication to fostering a positive, productive work environment is as instrumental to his success as his technical expertise.
Staying ahead of the curve in the rapidly evolving field of search technology, Daniël consistently adopts the latest techniques to provide superior search solutions. His dedication, skills, and unique approach make him a crucial member of the Luminis team, contributing significantly to the field of search engineering.
Tech Talks and Tastings: A Recap of Jfokus 2024
In this blog post, I tell you all about my experience at the Jfokus Conference 2024 in Stockholm, where my colleague Jettro and I gave a workshop about question-answering systems with Retrieval Augmented Generation. Back in October 2023, I wrote...
A Devoxx of Firsts
In this blog post, I tell you all about my experience of Devoxx Belgium 2023. A Devoxx of Firsts, where I did a lot of things for the first time. Keep reading to hear all about the workshopI gave, the...
Question Answering with your own data, LLMs and Java: meet Langchain4j
Python has become the de facto programming language when working on data related tasks. I’ve recently started exploring the world of Machine Learning (ML), Large Language Models (LLMs) and vector databases. See my previous blog post about using LLMs and...
Using Machine Learning to Improve Search – Part 1 of 5
Large Language Models and Generative AI Machine learning (ML) is a powerful tool to optimize search engines and natural language processing (NLP) capabilities. Using ML can result in more accurate and contextually relevant search results. ML algorithms can analyze vast...
Elastic Workplace Search: search through your enterprise (cloud) applications
One of our clients asked us to research if it’s possible to include their SharePoint and Confluence content in the enterprise search application we build for them, which was very difficult. Since December, with the 7.5 release, Elastic has included...
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