Code: link
In the era of information overload, efficient and intelligent search mechanisms have become indispensable. Retrieval-Augmented Generation (RAG) has emerged as a powerful paradigm in this context, combining the strengths of large language models with the ability to retrieve and leverage external knowledge. This approach not only enhances the accuracy and relevance of search results but also allows for more nuanced and context-aware responses to user queries.
In this post, we are going to discuss the differences between qualitative and quantitative content analysis and their core characteristics.
The goal of content analysis is to provide insights about some data, i.e. a newspaper article, a questionnaire, or a speech. The insights could be the presence of certain words, themes, or relationships between the two that are useful to support a certain hypothesis or phenomenon. There are two popular ways to perform content analysis: …