February 26-28, 2025
Montreal, Canada
Retrieval Augmented Generation in PHP
In this presentation, you will see a case study illustrating the process of building an application based on RAG (Retrieval Augmented Generation) in PHP using a large text model (LLM) to efficiently find precise answers in a database of unstructured text data. I will also show how to use LLM in PHP on a local server and how to approach testing the generated results.
Michał Żarnecki
CompanyHouse AG
With over 10 years of experience in cloud-based applications, he specializes in creating systems for mining large data sets using advanced technologies, including machine learning algorithms, natural language processing, and data science solutions. As the technical lead at CompanyHouse.de, he guides the technical direction and development of the CompanyHouse platform. He also shares his expertise by teaching machine learning and data mining at non-public university Collegium da Vinci in Poznan.
