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The goal of this article is to break down generative AI into simple, understandable terms without all the technical jargon.

A hands-on walkthrough of embeddings and similarity search using FIFA player data. Most of us who have played around with generative AI are familiar with building a RAG (or Retrieval Augmented Generation) model. In essence, you import your source documents to create a corpus, chunk the text into smaller pieces, and send those chunks into an embedding model to generate numerical vectors. From there, your query searches the vector database for relevant chunks, which are then

In today's data-driven world, the ability to analyze vast amounts of information quickly and accurately is more crucial than ever. Traditional data analysis methods often struggle to keep pace with the sheer volume and complexity of data generated daily. Enter artificial intelligence (AI), a technology that is not just enhancing but revolutionizing data analysis techniques. This blog post explores how AI is reshaping the landscape of data analysis, making it more efficient, a