Forget RAG, the Future is RAG-Fusion
The Wonderful World of RAG Fusion. Illustration by author.Having explored search technologies for almost a decade, I can honestly say nothing has been as disruptive as the recent rise of Retrieval Augmented Generation (RAG). This system is revolutionising search and information retrieval using vector search with generative AI to produce direct answers based on trusted data. In my search projects,
The importance of layered thinking in data engineering
Looks a bit like a data lake right? (Tangled wires by Cory Doctorow on Flickr (CC BY-SA 2.0) )Who is this for?Are you a data scientist or data engineer keen to build sustainable and robust data pipelines? Then this article is for you! We’ll walk through a real-world example and by the end of this article you’ll understand why you need a layered data engineering convention to avoid the mistakes we
How to Create Representations of Entities in a Knowledge Graph using pyRDF2Vec
Table of contentsRepresenting data with Knowledge GraphsRunning example: countries in DBpediaCreating entity embeddings with RDF2VecIntroducing pyRDF2VecBiased walking or sampling strategiesWalk modifications and transformationsLoading KGs with pyRDF2VecCreating our first embeddingsTuning the hyper-parametersTrying different walking strategiesSampling Deeper WalksShortcomings of RDF2Vec and resear
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