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Evaluation of Fixed-Length and Semantic Chunking in RAG | View in the Skills Network Catalog

Learn to build and evaluate a Retrieval-Augmented Generation system using different document chunking strategies. This project introduces a controlled experiment comparing fixed-length and semantic chunking under identical retrieval and generation settings. You will implement dense embeddings, construct FAISS vector indexes, perform top-K similarity search, and generate grounded responses with an LLM. You will gain practical insight into how preprocessing decisions influence retrieval coherence and downstream language model behavior, strengthening your foundation in modern RAG system design.

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Scalable Web Applications on Kubernetes | View in the Skills Network Catalog

This mini course walks you through how to scaffold a web application, run it locally in a container, and then deploy it to a Kubernetes cluster created with Kubernetes Service. Additionally, you will learn how to bind a custom domain, monitor the health of the environment, and scale the application.