27.11.2025
Vector Databases in Action: Building a RAG Pipeline for Code Search and Documentation
This tutorial explores building a code search system using vector databases and Retrieval-Augmented Generation (RAG) to enhance developer productivity. The system processes large codebases by splitting code into function-level...
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17.11.2025
From Data Lakes to Intelligence Lakes: Augmenting Apache Iceberg With Generative AI Metadata on AWS
This article explores how generative AI enhances data lakes by adding semantic intelligence to metadata, transforming static storage into dynamic, searchable systems. It details an architecture combining Apache Iceberg,...
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