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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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DZone AI/ML
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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DZone AI/ML