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How to Evaluate Retrieval Quality in RAG Pipelines: Precision@k, Recall@k, and F1@k | Towards Data Science
In my previous posts, I have walked you through putting together a very basic RAG pipeline in Python, as well as chunking large text documents. We’ve also looked into how documents are transformed into embeddings, allowing us to quickly search for similar documents within a vector database, along with how reranking is used to identify […]
How to Spin Up a Project Structure with Cookiecutter | Towards Data Science
If you’re anything like me, “procrastination” might as well be your middle name. There’s always that nagging hesitation before starting a new project. Just thinking about setting up the project structure, creating documentation, or writing a decent README is enough to trigger yawns. It feels like staring at a blank page for a dreaded school […]
Real-Time Intelligence in Microsoft Fabric: The Ultimate Guide | Towards Data Science
Once upon a time, handling streaming data was considered an avant-garde approach. Since the introduction of relational database management systems in the 1970s and traditional data warehousing systems in the late 1980s, all data workloads began and ended with the so-called batch processing. Batch processing relies on the concept of collecting numerous tasks in a group (or batch) […]