# TakeLab Retriever: AI-Driven Search Engine for Articles from Croatian News Outlets

arXiv: https://arxiv.org/abs/2411.19718 · HTML: https://mlsanity.com/paper/2411.19718/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 11 references that are in the map.
- First posted on arXiv 29 Nov 2024.

## Built on by (most cited first, 3 of 3)

- [Supervised In-Context Fine-Tuning for Generative Sequence Labeling](https://mlsanity.com/paper/2509.00921/) (2025)
- [Characterizing Linguistic Shifts in Croatian News via Diachronic Word Embeddings](https://mlsanity.com/paper/2506.13569/) (2025)
- [What Makes You CLIC: Detection of Croatian Clickbait Headlines](https://mlsanity.com/paper/2507.14314/) (2025)

## Abstract (arXiv)

TakeLab Retriever is an AI-driven search engine designed to discover, collect, and semantically analyze news articles from Croatian news outlets. It offers a unique perspective on the history and current landscape of Croatian online news media, making it an essential tool for researchers seeking to uncover trends, patterns, and correlations that general-purpose search engines cannot provide. TakeLab retriever utilizes cutting-edge natural language processing (NLP) methods, enabling users to sift through articles using named entities, phrases, and topics through the web application. This technical report is divided into two parts: the first explains how TakeLab Retriever is utilized, while the second provides a detailed account of its design. In the second part, we also address the software engineering challenges involved and propose solutions for developing a microservice-based semantic search engine capable of handling over ten million news articles published over the past two decades.